Если читали книгу - поделитесь, пожалуйста, своими впечатлениями о книге.
Тип книги: book ( Книга / Аудиокнига ) Категория книги: математика Год издания: Паблишер: John Wiley & Sons Limited Серии:
A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast number of areas, including aerospace, medicine, transportation, and finance, to name but a few. Whether the goal is refining the design of a missile or aircraft, determining the effectiveness of a new drug, developing the most efficient timing strategies for traffic signals, or making investment decisions in order to increase profits, stochastic algorithms can help researchers and practitioners devise optimal solutions to countless real-world problems. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control is a graduate-level introduction to the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The treatment is both rigorous and broadly accessible, distinguishing this text from much of the current literature and providing students, researchers, and practitioners with a strong foundation for the often-daunting task of solving real-world problems. The text covers a broad range of today’s most widely used stochastic algorithms, including: Random search Recursive linear estimation Stochastic approximation Simulated annealing Genetic and evolutionary methods Machine (reinforcement) learning Model selection Simulation-based optimization Markov chain Monte Carlo Optimal experimental design The book includes over 130 examples, Web links to software and data sets, more than 250 exercises for the reader, and an extensive list of references. These features help make the text an invaluable resource for those interested in the theory or practice of stochastic search and optimization.
Электронная Библиотека
:Мария Быкова
Introduction to Stochastic Search and Optimization - Группа авторов
Скачать книгу: https://go.wmlogs.com/yti/NIDDINjRodHRwczovL3d3dy5saXRyZXMucnUvNDM1MDIzMzgvP2xmcm9tPTI5MDI0OIDM
Читать онлайн: https://go.wmlogs.com/yti/PQZZQPTFodHRwczovL3d3dy5saXRyZXMucnUvcGFnZXMvcXVpY2tyZWFkLz9hcnQ9NDM1MDIzMzgmc2tpbj1ub3JtYWwmbGZyb209MjkwMjQ4MjY0Jmw9MjkwMjQ4MjY0JndpZGdldD0xLjAwJmlmcmFtmcm
Если читали книгу - поделитесь, пожалуйста, своими впечатлениями о книге.
Тип книги: book ( Книга / Аудиокнига )
Категория книги: математика
Год издания:
Паблишер: John Wiley & Sons Limited
Серии:
A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast number of areas, including aerospace, medicine, transportation, and finance, to name but a few. Whether the goal is refining the design of a missile or aircraft, determining the effectiveness of a new drug, developing the most efficient timing strategies for traffic signals, or making investment decisions in order to increase profits, stochastic algorithms can help researchers and practitioners devise optimal solutions to countless real-world problems. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control is a graduate-level introduction to the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The treatment is both rigorous and broadly accessible, distinguishing this text from much of the current literature and providing students, researchers, and practitioners with a strong foundation for the often-daunting task of solving real-world problems. The text covers a broad range of today’s most widely used stochastic algorithms, including: Random search Recursive linear estimation Stochastic approximation Simulated annealing Genetic and evolutionary methods Machine (reinforcement) learning Model selection Simulation-based optimization Markov chain Monte Carlo Optimal experimental design The book includes over 130 examples, Web links to software and data sets, more than 250 exercises for the reader, and an extensive list of references. These features help make the text an invaluable resource for those interested in the theory or practice of stochastic search and optimization.
Ссылка на книгу » https://go.wmlogs.com/yti/NIDDINjRodHRwczovL3d3dy5saXRyZXMucnUvNDM1MDIzMzgvP2xmcm9tPTI5MDI0OIDM
Читать онлайн: https://go.wmlogs.com/yti/PQZZQPTFodHRwczovL3d3dy5saXRyZXMucnUvcGFnZXMvcXVpY2tyZWFkLz9hcnQ9NDM1MDIzMzgmc2tpbj1ub3JtYWwmbGZyb209MjkwMjQ4MjY0Jmw9MjkwMjQ4MjY0JndpZGdldD0xLjAwJmlmcmFtmcm
Скачать книгу: https://go.wmlogs.com/yti/NIDDINjRodHRwczovL3d3dy5saXRyZXMucnUvZ2V0dHJpYWwvP2FydD00MzUwMjMzOCZmb3JtYXQ9dHh0Jmxmcm9tPTI5MDI0OIDM
#математика #Introduction #Stochastic #Search #Optimization #book #Группа #авторов #John #Wiley #Sons #Limited #книги #библиотека #2024 #скачать_книгу #читать_онлайн