Desde su aparición en la década de los 60, los algoritmos genéticos han ido ganando popularidad, gracias al frenético crecimiento de la capacidad computacional en los últimos años.
Master linear programming with this comprehensive guide, covering fundamentals, advanced methods, and practical applications using Excel, MATLAB, and Lindo.
Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system.
Master linear programming with this comprehensive guide, covering fundamentals, advanced methods, and practical applications using Excel, MATLAB, and Lindo.
Si como programador de back end quiere evolucionar al mismo tiempo que aprovechar todo su código en Java, sin duda, debe empezar por adoptar Kotlin, un nuevo lenguaje de programación, equiparado a Java en el mundo Android.
This self-contained book provides the reader with a comprehensive presentation of recent investigations on operator theory over non-Archimedean Banach and Hilbert spaces.
In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data.
The computer science problem whose solution could transform life as we know itThe P-NP problem is the most important open problem in computer science, if not all of mathematics.
Modern complex large-scale dynamical systems exist in virtually every aspect of science and engineering, and are associated with a wide variety of physical, technological, environmental, and social phenomena, including aerospace, power, communications, and network systems, to name just a few.
A PRACTICAL GUIDE TO OPTIMIZATION PROBLEMS WITH DISCRETE OR INTEGER VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming explains in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems.
A PRACTICAL GUIDE TO OPTIMIZATION PROBLEMS WITH DISCRETE OR INTEGER VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming explains in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems.
The authoritative guide to modeling and solving complex problems with linear programming extensively revised, expanded, and updated The only book to treat both linear programming techniques and network flows under one cover, Linear Programming and Network Flows, Fourth Edition has been completely updated with the latest developments on the topic.
Praise for the Second Edition: "e;This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustrations, and applications.
The authoritative guide to modeling and solving complex problems with linear programming extensively revised, expanded, and updated The only book to treat both linear programming techniques and network flows under one cover, Linear Programming and Network Flows, Fourth Edition has been completely updated with the latest developments on the topic.
The main aim of this book is to present several results related to functions of unitary operators on complex Hilbert spaces obtained, by the author in a sequence of recent research papers.
The main aim of this book is to present several results related to functions of unitary operators on complex Hilbert spaces obtained, by the author in a sequence of recent research papers.
This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe.
This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe.
Introduction to Linear Algebra: Computation, Application, and Theory is designed for students who have never been exposed to the topics in a linear algebra course.
Introduction to Linear Algebra: Computation, Application, and Theory is designed for students who have never been exposed to the topics in a linear algebra course.
