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1.
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DDC 616.8/0475
B 60
Bio-inspired algorithms and devices for treatment of cognitive diseases using future technologies / / Shweta Gupta, editor. - Hershey, PA : : Medical Information Science Reference,, [2022]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D986DE5C-231A-4429-94D8-8D8CDECFB86F. - ISBN 179989536X. - ISBN 9781799895367 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Bio-inspired algorithms and devices for treatment of cognitive diseases using future technologies. - Hershey, PA : Medical Information Science Reference, [2022]. - ISBN 9781799895343
Содержание:
Introduction to Bionics or Biomimetics -- Introduction to NeuroScience -- The Brain and Cognitive Sciences -- Cognitive and Behavioural Genetics -- Introduction to Different kinds of Cognitive Diseases -- Future Technologies -- Discussion of Various Software Tools for Simulation of the Electronic Circuits -- Applications of Biomimetics in Engineering -- Design of Algorithms and Circuits for devices for various Cognitive diseases using various Future Technologies and Bio -- Inspired Algorithms -- Analysis and Applications of various Future technologies in Bionics or Biomimetics or Bio-Inspired Strategies -- Current Cognitive Medical Tests and Therapies Available -- Comparison of the Current and Proposed Algorithms and Devices.
~РУБ DDC 616.8/0475
Рубрики: Brain Diseases--diagnosis
Cognition Disorders--diagnosis
Algorithms
Algorithmes.
algorithms.
Brain--Diseases--Diagnosis--Technological innovations.
Brain--Diseases--Treatment--Technological innovations.
Artificial intelligence--Medical applications.
Computer algorithms.
Аннотация: "This book will discuss new tools for early detection of Cognitive Brain Diseases like Depression , Epilepsy , Parkinson's Disease etc. using devices and algorithms whose basic concept is taken from nature in the absence of available proper medical tests, highlighting design , analysis and application of various bionics or bio-inspired based Algorithms or devices that would predict various Cognitive diseases or brain diseases, beforehand through medical tests"--
Доп.точки доступа:
Gupta, Shweta, (1979-) \editor.\
B 60
Bio-inspired algorithms and devices for treatment of cognitive diseases using future technologies / / Shweta Gupta, editor. - Hershey, PA : : Medical Information Science Reference,, [2022]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/D986DE5C-231A-4429-94D8-8D8CDECFB86F. - ISBN 179989536X. - ISBN 9781799895367 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Bio-inspired algorithms and devices for treatment of cognitive diseases using future technologies. - Hershey, PA : Medical Information Science Reference, [2022]. - ISBN 9781799895343
Содержание:
Introduction to Bionics or Biomimetics -- Introduction to NeuroScience -- The Brain and Cognitive Sciences -- Cognitive and Behavioural Genetics -- Introduction to Different kinds of Cognitive Diseases -- Future Technologies -- Discussion of Various Software Tools for Simulation of the Electronic Circuits -- Applications of Biomimetics in Engineering -- Design of Algorithms and Circuits for devices for various Cognitive diseases using various Future Technologies and Bio -- Inspired Algorithms -- Analysis and Applications of various Future technologies in Bionics or Biomimetics or Bio-Inspired Strategies -- Current Cognitive Medical Tests and Therapies Available -- Comparison of the Current and Proposed Algorithms and Devices.
Рубрики: Brain Diseases--diagnosis
Cognition Disorders--diagnosis
Algorithms
Algorithmes.
algorithms.
Brain--Diseases--Diagnosis--Technological innovations.
Brain--Diseases--Treatment--Technological innovations.
Artificial intelligence--Medical applications.
Computer algorithms.
Аннотация: "This book will discuss new tools for early detection of Cognitive Brain Diseases like Depression , Epilepsy , Parkinson's Disease etc. using devices and algorithms whose basic concept is taken from nature in the absence of available proper medical tests, highlighting design , analysis and application of various bionics or bio-inspired based Algorithms or devices that would predict various Cognitive diseases or brain diseases, beforehand through medical tests"--
Доп.точки доступа:
Gupta, Shweta, (1979-) \editor.\
2.
Подробнее
DDC 615.1/9
M 61
Methods and algorithms for molecular docking-based drug design and discovery / / Siavoush Dastmalchi, Maryam Hamzeh-Mivehroud, and Babak Sokouti, editors. - 4018/978-1-5225-0115-2. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : : IGI Global,, [2016]. - 1 online resource (PDFs (456 pages)) : : il ( час. мин.), 4018/978-1-5225-0115-2. - (Advances in medical technologies and clinical practice (AMTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/37923694-5316-4846-8EFE-47D024EA5D2B. - ISBN 9781522501169 (electronic bk.). - ISBN 1522501169 (electronic bk.)
Title screen (IGI Global, viewed 05/05/2016).
Параллельные издания: Print version: :
Содержание:
Molecular docking at a glance / Maryam Hamzeh-Mivehroud, Babak Sokouti, Siavoush Dastmalchi -- Methods for docking and drug designing / Ahmad Abu Turab Naqvi, Md. Imtaiyaz Hassan -- Scoring functions in docking experiments / Pravin Ambure, Kunal Roy -- The comparison of docking search algorithms and scoring functions: an overview and case studies / Marjana Novic [and 4 others] -- Protein ligand interaction fingerprints / Ali HajiEbrahimi [and 3 others] -- Different types of molecular docking based on variations of interacting molecules: variations of molecular docking / Amit Das, Simanti Bhattacharya -- Protein-protein docking: are we there yet? / Horia Jalily Hasani, Khaled H. Barakat -- Protein-ligand docking methodologies and its application in drug discovery / Sanchaita Rajkhowa, Ramesh C. Deka -- Scoring functions of protein-ligand interactions / Zhiqiang Yan, Jin Wang -- Molecular docking technique to understand enzyme-ligand interactions / Kailas Dashrath Sonawane, Maruti Jayram Dhanavade -- Recent advancements in docking methodologies / Vijay Kumar Srivastav, Vineet Singh, Meena Tiwari -- Docking methodologies and recent advances / Ashwani Kumar, Ruchika Goyal, Sandeep Jain -- Current trends in docking methodologies / Shubhandra Tripathi [and 3 others] -- Protein structure prediction using homology modeling: methods and tools / Akanksha Gupta, Pallavi Mohanty, Sonika Bhatnagar -- Online molecular docking resources / Adriana Isvoran.
~РУБ DDC 615.1/9
Рубрики: Pharmaceutical technology.
Drugs--Design--Computer simulation.
Algorithms.
Drugs--Design.
Drug Design
Molecular Docking Simulation
Algorithms
Technology, Pharmaceutical
Techniques pharmaceutiques.
Médicaments--Conception--Simulation par ordinateur.
Algorithmes.
Médicaments--Conception.
algorithms.
MEDICAL--Pharmacology.
Algorithms.
Drugs--Design--Computer simulation.
Pharmaceutical technology.
Кл.слова (ненормированные):
Docking methodologies -- Docking search algorithms -- Enzyme-ligand interactions -- Online docking resources -- Protein structure prediction -- Protein-ligand interactions -- Protein-protein docking
Аннотация: "This book investigates the evolution of pharmaceutical design and computational approaches in the field of molecular docking, highlighting theoretical backgrounds and emergent research in the area of computer-assisted drug design"--Provided by publisher.
Доп.точки доступа:
Dastmalchi, Siavoush, (1966-) \editor.\
Hamzeh-Mivehroud, Maryam, (1981-) \editor.\
Sokouti, Babak, (1978-) \editor.\
IGI Global,
M 61
Methods and algorithms for molecular docking-based drug design and discovery / / Siavoush Dastmalchi, Maryam Hamzeh-Mivehroud, and Babak Sokouti, editors. - 4018/978-1-5225-0115-2. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : : IGI Global,, [2016]. - 1 online resource (PDFs (456 pages)) : : il ( час. мин.), 4018/978-1-5225-0115-2. - (Advances in medical technologies and clinical practice (AMTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/37923694-5316-4846-8EFE-47D024EA5D2B. - ISBN 9781522501169 (electronic bk.). - ISBN 1522501169 (electronic bk.)
Title screen (IGI Global, viewed 05/05/2016).
Параллельные издания: Print version: :
Содержание:
Molecular docking at a glance / Maryam Hamzeh-Mivehroud, Babak Sokouti, Siavoush Dastmalchi -- Methods for docking and drug designing / Ahmad Abu Turab Naqvi, Md. Imtaiyaz Hassan -- Scoring functions in docking experiments / Pravin Ambure, Kunal Roy -- The comparison of docking search algorithms and scoring functions: an overview and case studies / Marjana Novic [and 4 others] -- Protein ligand interaction fingerprints / Ali HajiEbrahimi [and 3 others] -- Different types of molecular docking based on variations of interacting molecules: variations of molecular docking / Amit Das, Simanti Bhattacharya -- Protein-protein docking: are we there yet? / Horia Jalily Hasani, Khaled H. Barakat -- Protein-ligand docking methodologies and its application in drug discovery / Sanchaita Rajkhowa, Ramesh C. Deka -- Scoring functions of protein-ligand interactions / Zhiqiang Yan, Jin Wang -- Molecular docking technique to understand enzyme-ligand interactions / Kailas Dashrath Sonawane, Maruti Jayram Dhanavade -- Recent advancements in docking methodologies / Vijay Kumar Srivastav, Vineet Singh, Meena Tiwari -- Docking methodologies and recent advances / Ashwani Kumar, Ruchika Goyal, Sandeep Jain -- Current trends in docking methodologies / Shubhandra Tripathi [and 3 others] -- Protein structure prediction using homology modeling: methods and tools / Akanksha Gupta, Pallavi Mohanty, Sonika Bhatnagar -- Online molecular docking resources / Adriana Isvoran.
Рубрики: Pharmaceutical technology.
Drugs--Design--Computer simulation.
Algorithms.
Drugs--Design.
Drug Design
Molecular Docking Simulation
Algorithms
Technology, Pharmaceutical
Techniques pharmaceutiques.
Médicaments--Conception--Simulation par ordinateur.
Algorithmes.
Médicaments--Conception.
algorithms.
MEDICAL--Pharmacology.
Algorithms.
Drugs--Design--Computer simulation.
Pharmaceutical technology.
Кл.слова (ненормированные):
Docking methodologies -- Docking search algorithms -- Enzyme-ligand interactions -- Online docking resources -- Protein structure prediction -- Protein-ligand interactions -- Protein-protein docking
Аннотация: "This book investigates the evolution of pharmaceutical design and computational approaches in the field of molecular docking, highlighting theoretical backgrounds and emergent research in the area of computer-assisted drug design"--Provided by publisher.
Доп.точки доступа:
Dastmalchi, Siavoush, (1966-) \editor.\
Hamzeh-Mivehroud, Maryam, (1981-) \editor.\
Sokouti, Babak, (1978-) \editor.\
IGI Global,
3.
Подробнее
DDC 616.07/5
C 70
Collins, R. Douglas,
Algorithmic diagnosis of symptoms and signs : : a cost-effective approach / / R. Douglas Collins, Former Associate Professor of Medicine, Medical University of South Carolina, Former Associate Clinical Professor of Medicine, University of Florida School of Medicine, Chatsworth, California. - Fourth edition. - Philadelphia : : Wolters Kluwer Heath,, ©2017. - 1 online resource (645 pages) : : il. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C931FB06-2D8D-439A-85C5-49EABEAD53FE. - ISBN 9781496362810 (electronic bk.). - ISBN 1496362810 (electronic bk.). - ISBN 1496362780. - ISBN 9781496362780
Includes index. Online resource; title from PDF title page (EBSCO, viewed August 1, 2018).
Параллельные издания: Print version: : Collins, R. Douglas. Algorithmic diagnosis of symptoms and signs. - Philadelphia : Wolters Kluwer Heath, [2017]
Содержание:
Getting the most out of your history and physical examination -- Algorithms of symptoms and signs -- Diseases that are symptoms of other diseases.
~РУБ DDC 616.07/5
Рубрики: Diagnosis
Medical protocols
Diagnosis.
Diagnosis
Signs and Symptoms
Algorithms
Cost Savings
Diagnostics
Protocoles médicaux
Diagnostics.
Algorithmes.
diagnosis.
algorithms.
HEALTH & FITNESS--Diseases--General.
MEDICAL--Clinical Medicine.
MEDICAL--Diseases.
MEDICAL--Evidence-Based Medicine.
MEDICAL--Internal Medicine.
Diagnosis.
Medical protocols.
C 70
Collins, R. Douglas,
Algorithmic diagnosis of symptoms and signs : : a cost-effective approach / / R. Douglas Collins, Former Associate Professor of Medicine, Medical University of South Carolina, Former Associate Clinical Professor of Medicine, University of Florida School of Medicine, Chatsworth, California. - Fourth edition. - Philadelphia : : Wolters Kluwer Heath,, ©2017. - 1 online resource (645 pages) : : il. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C931FB06-2D8D-439A-85C5-49EABEAD53FE. - ISBN 9781496362810 (electronic bk.). - ISBN 1496362810 (electronic bk.). - ISBN 1496362780. - ISBN 9781496362780
Includes index. Online resource; title from PDF title page (EBSCO, viewed August 1, 2018).
Параллельные издания: Print version: : Collins, R. Douglas. Algorithmic diagnosis of symptoms and signs. - Philadelphia : Wolters Kluwer Heath, [2017]
Содержание:
Getting the most out of your history and physical examination -- Algorithms of symptoms and signs -- Diseases that are symptoms of other diseases.
Рубрики: Diagnosis
Medical protocols
Diagnosis.
Diagnosis
Signs and Symptoms
Algorithms
Cost Savings
Diagnostics
Protocoles médicaux
Diagnostics.
Algorithmes.
diagnosis.
algorithms.
HEALTH & FITNESS--Diseases--General.
MEDICAL--Clinical Medicine.
MEDICAL--Diseases.
MEDICAL--Evidence-Based Medicine.
MEDICAL--Internal Medicine.
Diagnosis.
Medical protocols.
4.
Подробнее
DDC 610.285
C 73
Computational methods and algorithms for medicine and optimized clinical practice / / Kwok Tai Chui and Miltiadis D. Lytras, editors. - 4018/978-1-5225-8244-1. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : : IGI Global,, [2019]. - 1 online resource (17 PDFs (290 pages)) ( час. мин.), 4018/978-1-5225-8244-1. - (Advances in medical technologies and clinical practice (AMTTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/9DA012E3-3B68-4583-980A-A8BDC17516ED. - ISBN 1522582452. - ISBN 9781522582458 (electronic bk.)
Title screen (IGI Global, viewed 02/23/2019).
Параллельные издания: Print version: :
Содержание:
Chapter 1. Feasibility of using smart devices and digital technologies in the assessment of human cognitive abilities: perspective for India -- Chapter 2. An empirical study of information and communications technology (ICT) in the Nigerian health sector -- Chapter 3. Consideration of stress coping support system for prevention of mental disease using smart heart rate monitor -- Chapter 4. Algorithmic analysis of clinical, neuropsychological, and imaging data in localization-related epilepsy -- Chapter 5. Health information technology: implications for physician practice and professionalism -- Chapter 6. Predicting patient turnover: lessons from predicting customer churn using free-form call center notes -- Chapter 7. Exploring diseases relationships: an ontology-based spreading activation approach -- Chapter 8. Mental health clinical decision support exploiting big data -- Chapter 9. Glycemic monitoring and prediction with response improvement via psyllium.
~РУБ DDC 610.285
Рубрики: Medicine--Computer simulation.
Clinical medicine.
Algorithms.
Computer algorithms.
Computing Methodologies
Clinical Medicine--methods
Algorithms
Clinical Medicine
Médecine--Simulation par ordinateur.
Médecine clinique.
Algorithmes.
algorithms.
HEALTH & FITNESS--Holism.
HEALTH & FITNESS--Reference.
MEDICAL--Alternative Medicine.
MEDICAL--Atlases.
MEDICAL--Essays.
MEDICAL--Family & General Practice.
MEDICAL--Holistic Medicine.
MEDICAL--Osteopathy.
Algorithms.
Clinical medicine.
Medicine--Computer simulation.
Аннотация: "This book examines applied and theoretical aspects of industrial engineering and related areas. It also explores empirical and theoretical research on the development, improvement, implementation, and evaluation of integrated systems in engineering"--Provided by publisher.
Доп.точки доступа:
Chui, Kwok Tai, \editor.\
Lytras, Miltiadis D., (1973-) \editor.\
IGI Global,
C 73
Computational methods and algorithms for medicine and optimized clinical practice / / Kwok Tai Chui and Miltiadis D. Lytras, editors. - 4018/978-1-5225-8244-1. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : : IGI Global,, [2019]. - 1 online resource (17 PDFs (290 pages)) ( час. мин.), 4018/978-1-5225-8244-1. - (Advances in medical technologies and clinical practice (AMTTCP) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/9DA012E3-3B68-4583-980A-A8BDC17516ED. - ISBN 1522582452. - ISBN 9781522582458 (electronic bk.)
Title screen (IGI Global, viewed 02/23/2019).
Параллельные издания: Print version: :
Содержание:
Chapter 1. Feasibility of using smart devices and digital technologies in the assessment of human cognitive abilities: perspective for India -- Chapter 2. An empirical study of information and communications technology (ICT) in the Nigerian health sector -- Chapter 3. Consideration of stress coping support system for prevention of mental disease using smart heart rate monitor -- Chapter 4. Algorithmic analysis of clinical, neuropsychological, and imaging data in localization-related epilepsy -- Chapter 5. Health information technology: implications for physician practice and professionalism -- Chapter 6. Predicting patient turnover: lessons from predicting customer churn using free-form call center notes -- Chapter 7. Exploring diseases relationships: an ontology-based spreading activation approach -- Chapter 8. Mental health clinical decision support exploiting big data -- Chapter 9. Glycemic monitoring and prediction with response improvement via psyllium.
Рубрики: Medicine--Computer simulation.
Clinical medicine.
Algorithms.
Computer algorithms.
Computing Methodologies
Clinical Medicine--methods
Algorithms
Clinical Medicine
Médecine--Simulation par ordinateur.
Médecine clinique.
Algorithmes.
algorithms.
HEALTH & FITNESS--Holism.
HEALTH & FITNESS--Reference.
MEDICAL--Alternative Medicine.
MEDICAL--Atlases.
MEDICAL--Essays.
MEDICAL--Family & General Practice.
MEDICAL--Holistic Medicine.
MEDICAL--Osteopathy.
Algorithms.
Clinical medicine.
Medicine--Computer simulation.
Аннотация: "This book examines applied and theoretical aspects of industrial engineering and related areas. It also explores empirical and theoretical research on the development, improvement, implementation, and evaluation of integrated systems in engineering"--Provided by publisher.
Доп.точки доступа:
Chui, Kwok Tai, \editor.\
Lytras, Miltiadis D., (1973-) \editor.\
IGI Global,
5.
Подробнее
DDC 005.133
A 57
Anggoro, Wisnu.
C++ Data Structures and Algorithms : : Learn how to write efficient code to build scalable and robust applications in C++. / Wisnu. Anggoro. - Birmingham : : Packt Publishing,, 2018. - 1 online resource (314 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/19EAD0E1-760F-43E1-B210-8CFCDA1C7D6D. - ISBN 9781788831970 (electronic bk.). - ISBN 1788831977 (electronic bk.)
Interpolation search. Print version record.
Параллельные издания: Print version: : Anggoro, Wisnu. C++ Data Structures and Algorithms : Learn how to write efficient code to build scalable and robust applications in C++. - Birmingham : Packt Publishing, ©2018
Содержание:
Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Learning Data Structures and Algorithms in C++; Technical requirements; Introduction to basic C++; Creating your first code in C++; Enhancing code development experience with IDE; Defining the variables using fundamental data types; Controlling the flow of the code; Conditional statement; Loop statement; Leveraging the variable capability using advanced data types; Developing abstract data types; Applying C++ classes to build user-defined ADTs; Playing with templates.
Function templatesClass templates; Standard Template Library; Analyzing the algorithm; Asymptotic analysis; Worst, average, and best cases; Big Theta, Big-O, and Big Omega; Recursive method; Amortized analysis; Summary; QA section; Further reading; Chapter 2: Storing Data in Lists and Linked Lists; Technical requirements; Getting closer to an array; Building a List ADT; Fetching an item in the List; Inserting an item into the List ADT; Finding out the index of a selected item in the List ADT; Removing an item from the List ADT; Consuming a List ADT; Introduction to node.
Building a Singly Linked List ADTFetching an item in the LinkedList class; Inserting an item in the LinkedList class; Getting the index of the selected item in the LinkedList; Removing an item from the LinkedList ADT; Consuming the LinkedList ADT; Building the Doubly Linked List ADT; Refactoring the Node data type; Refactoring several operations in the LinkedList ADT; Removing an element; Inserting an element; Consuming the DoublyLinkedList ADT; Applying List and LinkedList using STL; std::vector; std::list; Summary; QA section; Further reading; Chapter 3: Constructing Stacks and Queues.
Technical requirementsBuilding a Stack ADT; Fetching the item's value in the Stack ADT; Pushing the items of the Stack ADT; Popping the items from the Stack ADT; Consuming a Stack ADT; Another example of Stack ADT implementation; Building a Queue ADT; Getting a value from Queue ADT; Inserting an element into the Queue ADT; Removing an element from the Queue ADT; Consuming the Queue ADT; Building a Deque ADT; Fetching a value from a Deque; Enqueueing an element into the Deque ADT; Dequeuing an element from the Deque ADT; Consuming the Deque ADT; Summary; QA section; Further reading.
Chapter 4: Arranging Data Elements Using a Sorting AlgorithmTechnical requirements; Bubble sort; Selection sort; Insertion sort; Merge sort; Quick sort; Counting sort; Radix sort; Summary; QA section; Further reading; Chapter 5: Finding out an Element Using Searching Algorithms; Technical requirements; Linear search; Developing a linear search algorithm; Implementing the linear search algorithm; Binary search; Developing binary search algorithm; Implementing binary search algorithm ; Ternary search; Developing ternary search algorithm; Applying the ternary search algorithm.
~РУБ DDC 005.133
Рубрики: C++ (Computer program language)
Data structures (Computer science)
Computer algorithms.
Algorithms.
C++ (Langage de programmation)
Structures de données (Informatique)
Algorithmes.
algorithms.
COMPUTERS--Programming Languages--C#.
Data structures (Computer science)
C++ (Computer program language)
Computer algorithms.
Аннотация: C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer.
A 57
Anggoro, Wisnu.
C++ Data Structures and Algorithms : : Learn how to write efficient code to build scalable and robust applications in C++. / Wisnu. Anggoro. - Birmingham : : Packt Publishing,, 2018. - 1 online resource (314 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/19EAD0E1-760F-43E1-B210-8CFCDA1C7D6D. - ISBN 9781788831970 (electronic bk.). - ISBN 1788831977 (electronic bk.)
Interpolation search. Print version record.
Параллельные издания: Print version: : Anggoro, Wisnu. C++ Data Structures and Algorithms : Learn how to write efficient code to build scalable and robust applications in C++. - Birmingham : Packt Publishing, ©2018
Содержание:
Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Learning Data Structures and Algorithms in C++; Technical requirements; Introduction to basic C++; Creating your first code in C++; Enhancing code development experience with IDE; Defining the variables using fundamental data types; Controlling the flow of the code; Conditional statement; Loop statement; Leveraging the variable capability using advanced data types; Developing abstract data types; Applying C++ classes to build user-defined ADTs; Playing with templates.
Function templatesClass templates; Standard Template Library; Analyzing the algorithm; Asymptotic analysis; Worst, average, and best cases; Big Theta, Big-O, and Big Omega; Recursive method; Amortized analysis; Summary; QA section; Further reading; Chapter 2: Storing Data in Lists and Linked Lists; Technical requirements; Getting closer to an array; Building a List ADT; Fetching an item in the List; Inserting an item into the List ADT; Finding out the index of a selected item in the List ADT; Removing an item from the List ADT; Consuming a List ADT; Introduction to node.
Building a Singly Linked List ADTFetching an item in the LinkedList class; Inserting an item in the LinkedList class; Getting the index of the selected item in the LinkedList; Removing an item from the LinkedList ADT; Consuming the LinkedList ADT; Building the Doubly Linked List ADT; Refactoring the Node data type; Refactoring several operations in the LinkedList ADT; Removing an element; Inserting an element; Consuming the DoublyLinkedList ADT; Applying List and LinkedList using STL; std::vector; std::list; Summary; QA section; Further reading; Chapter 3: Constructing Stacks and Queues.
Technical requirementsBuilding a Stack ADT; Fetching the item's value in the Stack ADT; Pushing the items of the Stack ADT; Popping the items from the Stack ADT; Consuming a Stack ADT; Another example of Stack ADT implementation; Building a Queue ADT; Getting a value from Queue ADT; Inserting an element into the Queue ADT; Removing an element from the Queue ADT; Consuming the Queue ADT; Building a Deque ADT; Fetching a value from a Deque; Enqueueing an element into the Deque ADT; Dequeuing an element from the Deque ADT; Consuming the Deque ADT; Summary; QA section; Further reading.
Chapter 4: Arranging Data Elements Using a Sorting AlgorithmTechnical requirements; Bubble sort; Selection sort; Insertion sort; Merge sort; Quick sort; Counting sort; Radix sort; Summary; QA section; Further reading; Chapter 5: Finding out an Element Using Searching Algorithms; Technical requirements; Linear search; Developing a linear search algorithm; Implementing the linear search algorithm; Binary search; Developing binary search algorithm; Implementing binary search algorithm ; Ternary search; Developing ternary search algorithm; Applying the ternary search algorithm.
Рубрики: C++ (Computer program language)
Data structures (Computer science)
Computer algorithms.
Algorithms.
C++ (Langage de programmation)
Structures de données (Informatique)
Algorithmes.
algorithms.
COMPUTERS--Programming Languages--C#.
Data structures (Computer science)
C++ (Computer program language)
Computer algorithms.
Аннотация: C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer.
6.
Подробнее
DDC 070.4/3
D 53
Diakopoulos, Nicholas,.
Automating the news : : how algorithms are rewriting the media / / Nicholas Diakopoulos. - Cambridge, Massachusetts : : Harvard University Press,, ©2019. - 1 online resource (322 pages) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F0CBDC0F-7ACE-4548-B1AE-2F3FB658EF84. - ISBN 9780674239302 (electronic book). - ISBN 067423930X (electronic book). - ISBN 9780674239319 (electronic bk.). - ISBN 0674239318 (electronic bk.)
Online resource; title from digital title page (viewed on May 15, 2019).
Содержание:
Introduction: The era of new algorithms -- Hybridization: combining algorithms, automation, and people in newswork -- Journalistic data mining -- Automated content production -- Newsbots: agents of information -- Digital paperboys: algorithms in news distribution -- Algorithmic accountability reporting -- Conclusion: The future of algorithmic news media.
~РУБ DDC 070.4/3
Рубрики: Journalism--Technological innovations.
Online journalism.
Digital media.
Algorithms.
Multimedia data mining.
Computer algorithms.
Journalisme--Innovations.
Journalisme en ligne.
Médias numériques.
Algorithmes.
Exploration de données multimédia.
algorithms.
LANGUAGE ARTS & DISCIPLINES--Journalism.
LANGUAGE ARTS & DISCIPLINES / Journalism
Algorithms.
Digital media.
Journalism--Technological innovations.
Multimedia data mining.
Online journalism.
Аннотация: Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories--increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human-algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.--
D 53
Diakopoulos, Nicholas,.
Automating the news : : how algorithms are rewriting the media / / Nicholas Diakopoulos. - Cambridge, Massachusetts : : Harvard University Press,, ©2019. - 1 online resource (322 pages) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F0CBDC0F-7ACE-4548-B1AE-2F3FB658EF84. - ISBN 9780674239302 (electronic book). - ISBN 067423930X (electronic book). - ISBN 9780674239319 (electronic bk.). - ISBN 0674239318 (electronic bk.)
Online resource; title from digital title page (viewed on May 15, 2019).
Содержание:
Introduction: The era of new algorithms -- Hybridization: combining algorithms, automation, and people in newswork -- Journalistic data mining -- Automated content production -- Newsbots: agents of information -- Digital paperboys: algorithms in news distribution -- Algorithmic accountability reporting -- Conclusion: The future of algorithmic news media.
Рубрики: Journalism--Technological innovations.
Online journalism.
Digital media.
Algorithms.
Multimedia data mining.
Computer algorithms.
Journalisme--Innovations.
Journalisme en ligne.
Médias numériques.
Algorithmes.
Exploration de données multimédia.
algorithms.
LANGUAGE ARTS & DISCIPLINES--Journalism.
LANGUAGE ARTS & DISCIPLINES / Journalism
Algorithms.
Digital media.
Journalism--Technological innovations.
Multimedia data mining.
Online journalism.
Аннотация: Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories--increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human-algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.--
7.
Подробнее
DDC 332.640285
M 14
MacKenzie, Donald A. ,
Trading at the speed of light : : how ultrafast algorithms are transforming financial markets / / Donald MacKenzie. - Princeton, New Jersey : : Princeton University Press,, [2021]. - 1 online resource (xii, 282 pages) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/DA7E34CD-71D3-4C89-9A69-318154CDD6DF. - ISBN 0691217793 (electronic book). - ISBN 9780691217796 (electronic bk.)
Description based on online resource; title from digital title page (ProQuest Ebook Central, viewed December 12, 2022).
Параллельные издания: Print version: : MacKenzie, Donald A. Trading at the speed of light. - Princeton, New Jersey : Princeton University Press, [2021]. - ISBN 9780691211381
Содержание:
Introduction -- To the towers -- "We'll show you our book. Why won't they?" -- Dealers, clients, and the politics of market structure -- "Not only would I lose my job, I might lose my legs too!" -- How HFT algorithms interact, and how exchanges seek to influence it -- 7. Conclusion -- Appendix : a note on the literature on HFT.
~РУБ DDC 332.640285
Рубрики: Investments--Data processing.
Program trading (Securities)
Stock exchanges.
Algorithms.
Finance.
Computer algorithms.
Investissements--Informatique.
Négociation assistée par ordinateur (Valeurs mobilières)
Bourse.
Algorithmes.
Finances.
exchange (method of acquisition)
stock exchanges.
algorithms.
finance.
BUSINESS & ECONOMICS / Finance / Financial Engineering.
Computer algorithms.
Algorithms.
Finance.
Investments--Data processing.
Program trading (Securities)
Stock exchanges.
Аннотация: "Trading at the Speed of Light tells the story of how many of our most important financial markets have transformed from physical trading floors on which human beings trade face-to-face, into electronic systems within which computer algorithms trade with each other. Tracing the emergence of ultrafast, automated, high-frequency trading (HFT) since the early 2000s, Donald MacKenzie draws particular attention to the importance of what he deems the 'material political economy' of twenty-first century finance. Fast transmission of price data used to involve fibre-optic cables, but the strands in such cables are made of materials (usually a specialised form of glass) which slow light down to around two-thirds of its speed in free space. By contrast, microwave and other wireless signals used in HFT travel through the atmosphere at nearly full light speed. At these nanosecond speeds, the physical nature of information transmission and the precise spatial location of the equipment involved become hugely important, thus creating inevitable pinch points in the system. MacKenzie details the ways in which these pinch points - individual frequency bands, specific locations on the roofs of computer data centres, and particular sites for microwave towers - are especially advantageous, making it possible for those who control them to profit from that control. The book draws from over 300 interviews conducted with high-frequency traders around the world, the people who supply them with technological systems and communication links, exchange staff and regulators, as well as with others who function within markets that have not yet become dominated by HFT. MacKenzie focuses most closely upon the four main sites of international HFT - Chicago, New York, Amsterdam, and London - and examines both the technology and the politics underpinning modern financial markets"--
M 14
MacKenzie, Donald A. ,
Trading at the speed of light : : how ultrafast algorithms are transforming financial markets / / Donald MacKenzie. - Princeton, New Jersey : : Princeton University Press,, [2021]. - 1 online resource (xii, 282 pages) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/DA7E34CD-71D3-4C89-9A69-318154CDD6DF. - ISBN 0691217793 (electronic book). - ISBN 9780691217796 (electronic bk.)
Description based on online resource; title from digital title page (ProQuest Ebook Central, viewed December 12, 2022).
Параллельные издания: Print version: : MacKenzie, Donald A. Trading at the speed of light. - Princeton, New Jersey : Princeton University Press, [2021]. - ISBN 9780691211381
Содержание:
Introduction -- To the towers -- "We'll show you our book. Why won't they?" -- Dealers, clients, and the politics of market structure -- "Not only would I lose my job, I might lose my legs too!" -- How HFT algorithms interact, and how exchanges seek to influence it -- 7. Conclusion -- Appendix : a note on the literature on HFT.
Рубрики: Investments--Data processing.
Program trading (Securities)
Stock exchanges.
Algorithms.
Finance.
Computer algorithms.
Investissements--Informatique.
Négociation assistée par ordinateur (Valeurs mobilières)
Bourse.
Algorithmes.
Finances.
exchange (method of acquisition)
stock exchanges.
algorithms.
finance.
BUSINESS & ECONOMICS / Finance / Financial Engineering.
Computer algorithms.
Algorithms.
Finance.
Investments--Data processing.
Program trading (Securities)
Stock exchanges.
Аннотация: "Trading at the Speed of Light tells the story of how many of our most important financial markets have transformed from physical trading floors on which human beings trade face-to-face, into electronic systems within which computer algorithms trade with each other. Tracing the emergence of ultrafast, automated, high-frequency trading (HFT) since the early 2000s, Donald MacKenzie draws particular attention to the importance of what he deems the 'material political economy' of twenty-first century finance. Fast transmission of price data used to involve fibre-optic cables, but the strands in such cables are made of materials (usually a specialised form of glass) which slow light down to around two-thirds of its speed in free space. By contrast, microwave and other wireless signals used in HFT travel through the atmosphere at nearly full light speed. At these nanosecond speeds, the physical nature of information transmission and the precise spatial location of the equipment involved become hugely important, thus creating inevitable pinch points in the system. MacKenzie details the ways in which these pinch points - individual frequency bands, specific locations on the roofs of computer data centres, and particular sites for microwave towers - are especially advantageous, making it possible for those who control them to profit from that control. The book draws from over 300 interviews conducted with high-frequency traders around the world, the people who supply them with technological systems and communication links, exchange staff and regulators, as well as with others who function within markets that have not yet become dominated by HFT. MacKenzie focuses most closely upon the four main sites of international HFT - Chicago, New York, Amsterdam, and London - and examines both the technology and the politics underpinning modern financial markets"--
8.
Подробнее
DDC 005.1
J 44
Jesús, Sofía De.
Applied Computational Thinking with Python [[electronic resource] :] : Design Algorithmic Solutions for Complex and Challenging Real-World Problems. / Sofía De. Jesús, Martinez, Dayrene. - Birmingham : : Packt Publishing, Limited,, 2020. - 1 online resource (420 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4EFD77A3-7336-49FD-8452-766E1986988A. - ISBN 9781839216763. - ISBN 183921676X
Description based upon print version of record.
Параллельные издания: Print version: : Jesús, Sofía De Applied Computational Thinking with Python : Design Algorithmic Solutions for Complex and Challenging Real-World Problems. - Birmingham : Packt Publishing, Limited,c2020. - ISBN 9781839219436
Содержание:
Cover -- Title Page -- Copyright and Credits -- Dedicated -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to Computational Thinking -- Chapter 1: Fundamentals of Computer Science -- Technical requirements -- Introduction to computer science -- Learning about computers and the binary system -- Understanding theoretical computer science -- Algorithms -- Coding theory -- Computational biology -- Data structures -- Information theory -- Automata theory -- Formal language theory -- Symbolic computation -- Computational geometry
Computational number theory -- Learning about a system's software -- Operating systems -- Application software -- Understanding computing -- Architecture -- Programming languages -- Learning about data types and structures -- Data types -- Data structures -- Summary -- Chapter 2: Elements of Computational Thinking -- Technical requirements -- Understanding computational thinking -- Problem 1 -- Conditions -- Decomposing problems -- Recognizing patterns -- Problem 2 -- Mathematical algorithms and generalization -- Generalizing patterns -- Designing algorithms -- Additional problems
Problem 2 -- Children's soccer party -- Problem 3 -- Savings and interest -- Summary -- Chapter 3: Understanding Algorithms and Algorithmic Thinking -- Technical requirements -- Defining algorithms in depth -- Algorithms should be clear and unambiguous -- Algorithms should have inputs and outputs that are well defined -- Algorithms should have finiteness -- Algorithms have to be feasible -- Algorithms are language-independent -- Designing algorithms -- Problem 1 -- An office lunch -- Problem 2 -- A catering company -- Analyzing algorithms -- Algorithm analysis 1 -- States and capitals
Algorithm analysis 2 -- Terminating or not terminating? -- Summary -- Chapter 4: Understanding Logical Reasoning -- Technical requirements -- Understanding the importance of logical reasoning -- Applying inductive reasoning -- Applying deductive reasoning -- Using Boolean logic and operators -- The and operator -- The or operator -- The not operator -- Identifying logic errors -- Summary -- Chapter 5: Exploring Problem Analysis -- Technical requirements -- Understanding the problem definitions -- Problem 5A -- Building an online store -- Learning to decompose problems
Converting the flowchart into an algorithm -- Analyzing problems -- Problem 5B -- Analyzing a simple game problem -- Summary -- Chapter 6: Designing Solutions and Solution Processes -- Technical requirements -- Designing solutions -- Problem 1 -- A marketing survey -- Diagramming solutions -- Creating solutions -- Problem 2 -- Pizza order -- Problem 3 -- Delays and Python -- Summary -- Chapter 7: Identifying Challenges within Solutions -- Technical requirements -- Identifying errors in algorithm design -- Syntax errors -- Errors in logic -- Debugging algorithms -- Comparing solutions
Problem 1 -- Printing even numbers
~РУБ DDC 005.1
Рубрики: Computer algorithms.
Python (Computer program language)
Algorithms.
Algorithmes.
Python (Langage de programmation)
algorithms.
Object-oriented programming (OOP).
Programming & scripting languages: general.
Computer science.
Computers--Computer Science.
Computers--Programming--Object Oriented.
Computers--Programming Languages--Python.
Computer algorithms.
Python (Computer program language)
Аннотация: Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.
Доп.точки доступа:
Martinez, Dayrene.
J 44
Jesús, Sofía De.
Applied Computational Thinking with Python [[electronic resource] :] : Design Algorithmic Solutions for Complex and Challenging Real-World Problems. / Sofía De. Jesús, Martinez, Dayrene. - Birmingham : : Packt Publishing, Limited,, 2020. - 1 online resource (420 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4EFD77A3-7336-49FD-8452-766E1986988A. - ISBN 9781839216763. - ISBN 183921676X
Description based upon print version of record.
Параллельные издания: Print version: : Jesús, Sofía De Applied Computational Thinking with Python : Design Algorithmic Solutions for Complex and Challenging Real-World Problems. - Birmingham : Packt Publishing, Limited,c2020. - ISBN 9781839219436
Содержание:
Cover -- Title Page -- Copyright and Credits -- Dedicated -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to Computational Thinking -- Chapter 1: Fundamentals of Computer Science -- Technical requirements -- Introduction to computer science -- Learning about computers and the binary system -- Understanding theoretical computer science -- Algorithms -- Coding theory -- Computational biology -- Data structures -- Information theory -- Automata theory -- Formal language theory -- Symbolic computation -- Computational geometry
Computational number theory -- Learning about a system's software -- Operating systems -- Application software -- Understanding computing -- Architecture -- Programming languages -- Learning about data types and structures -- Data types -- Data structures -- Summary -- Chapter 2: Elements of Computational Thinking -- Technical requirements -- Understanding computational thinking -- Problem 1 -- Conditions -- Decomposing problems -- Recognizing patterns -- Problem 2 -- Mathematical algorithms and generalization -- Generalizing patterns -- Designing algorithms -- Additional problems
Problem 2 -- Children's soccer party -- Problem 3 -- Savings and interest -- Summary -- Chapter 3: Understanding Algorithms and Algorithmic Thinking -- Technical requirements -- Defining algorithms in depth -- Algorithms should be clear and unambiguous -- Algorithms should have inputs and outputs that are well defined -- Algorithms should have finiteness -- Algorithms have to be feasible -- Algorithms are language-independent -- Designing algorithms -- Problem 1 -- An office lunch -- Problem 2 -- A catering company -- Analyzing algorithms -- Algorithm analysis 1 -- States and capitals
Algorithm analysis 2 -- Terminating or not terminating? -- Summary -- Chapter 4: Understanding Logical Reasoning -- Technical requirements -- Understanding the importance of logical reasoning -- Applying inductive reasoning -- Applying deductive reasoning -- Using Boolean logic and operators -- The and operator -- The or operator -- The not operator -- Identifying logic errors -- Summary -- Chapter 5: Exploring Problem Analysis -- Technical requirements -- Understanding the problem definitions -- Problem 5A -- Building an online store -- Learning to decompose problems
Converting the flowchart into an algorithm -- Analyzing problems -- Problem 5B -- Analyzing a simple game problem -- Summary -- Chapter 6: Designing Solutions and Solution Processes -- Technical requirements -- Designing solutions -- Problem 1 -- A marketing survey -- Diagramming solutions -- Creating solutions -- Problem 2 -- Pizza order -- Problem 3 -- Delays and Python -- Summary -- Chapter 7: Identifying Challenges within Solutions -- Technical requirements -- Identifying errors in algorithm design -- Syntax errors -- Errors in logic -- Debugging algorithms -- Comparing solutions
Problem 1 -- Printing even numbers
Рубрики: Computer algorithms.
Python (Computer program language)
Algorithms.
Algorithmes.
Python (Langage de programmation)
algorithms.
Object-oriented programming (OOP).
Programming & scripting languages: general.
Computer science.
Computers--Computer Science.
Computers--Programming--Object Oriented.
Computers--Programming Languages--Python.
Computer algorithms.
Python (Computer program language)
Аннотация: Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.
Доп.точки доступа:
Martinez, Dayrene.
Страница 1, Результатов: 8