Linear programming

Differential Equations in Engineering: Research and Applications describes advanced research in the field of the applications of differential equations in engineering and the sciences, and offers a sound theoretical background, along with case studies.

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 Final Volume of the Groundbreaking Trilogy on Agent-Based ModelingIn this pioneering synthesis, Joshua Epstein introduces a new theoretical entity: Agent_Zero.

This book uses asymptotic methods to obtain simple approximate analytic solutions to various problems within mechanics, notably wave processes in heterogeneous materials.

This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry.

This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe.

Linear Differential Equations and Oscillators is the first book within Ordinary Differential Equations with Applications to Trajectories and Vibrations, Six-volume Set.

This book introduces linear transformation and its key results, which have applications in engineering, physics, and various branches of mathematics.

Practical Numerical and Scientific Computing with MATLAB(R) and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming.

A thorough and highly accessible resource for analysts in a broadrange of social sciences.

This book uses asymptotic methods to obtain simple approximate analytic solutions to various problems within mechanics, notably wave processes in heterogeneous materials.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

Mathematical models are used to convert real-life problems using mathematical concepts and language.

In this book, control and filtering problems for several classes of stochastic networked systems are discussed.

Non-Linear Differential Equations and Dynamical Systems is the second book within Ordinary Differential Equations with Applications to Trajectories and Vibrations, Six-volume Set.

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.

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.

In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies.

Optimization and decision making are integral parts of any manufacturing process and management system.

Classification and Examples of Differential Equations and their Applications is the sixth book within Ordinary Differential Equations with Applications to Trajectories and Vibrations, Six-volume Set.

Singular Differential Equations and Special Functions is the fifth book within Ordinary Differential Equations with Applications to Trajectories and Vibrations, Six-volume Set.

This book presents fundamental concepts of optimization problems and its real-world applications in various fields.

Master linear programming with this comprehensive guide, covering fundamentals, advanced methods, and practical applications using Excel, MATLAB, and Lindo.

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 Final Volume of the Groundbreaking Trilogy on Agent-Based ModelingIn this pioneering synthesis, Joshua Epstein introduces a new theoretical entity: Agent_Zero.

Multitud de estudiantes de secundaria presentan dificultades a la hora de resolver problemas a través de un ordenador.

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.

Esta obra es una excelente fuente de información, ejemplos y conceptos para lograr que los diseños Web sean más dinámicos e interactivos.

Mientras que la mayoría de los libros relativos a los problemas de optimización se dedican principalmente al diseño de algoritmos heurísticos y exactos para la solución efectiva de los problemas considerados, el objetivo de este libro es facilitar la difícil tarea de la adecuada modelización de los problemas a abordar.

This book presents conventions, mathematical concepts, definitions and applications central to the geometric modeling of solids, shells and wires (engineering jargon) embedded in 3D space.