Sirve como texto guia de pregrado y posgrado en todas las carreras que incluyan dentro de sus asignaturas modelos de optimizacion de caracter lineal y eficiencia en el manejo de los recursos; dentro de estas se pueden mencionar ingenieria industrial, administracion de empresas, economia y contaduria publica, entre otras.
This book presents a cohesive collection of cutting-edge research focused on advanced decision-support methodologies for complex and ambiguous operational contexts.
This book presents a cohesive collection of cutting-edge research focused on advanced decision-support methodologies for complex and ambiguous operational contexts.
This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer programming, and programming under uncertainty.
A semantically well-defined programming language widely used in artificial intelligence, Prolog has greatly influenced other programming languages since its introduction in the late 1970s.
The intention of the authors is to examine the relationship between piecewise linear structure and differential structure: a relationship, they assert, that can be understood as a homotopy obstruction theory, and, hence, can be studied by using the traditional techniques of algebraic topology.
A classic treatment of linear inequalities from the acclaimed Annals of Mathematics Studies seriesPrinceton University Press is proud to have published the Annals of Mathematics Studies since 1940.
A classic introduction to linear transformations in Hilbert space from the acclaimed Annals of Mathematics Studies seriesPrinceton University Press is proud to have published the Annals of Mathematics Studies since 1940.
The first interdisciplinary textbook to introduce students to three critical areas in applied logicDemonstrating the different roles that logic plays in the disciplines of computer science, mathematics, and philosophy, this concise undergraduate textbook covers select topics from three different areas of logic: proof theory, computability theory, and nonclassical logic.
This classic book is an introduction to dynamic programming, presented by the scientist who coined the term and developed the theory in its early stages.
Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology.
Actuator and sensor delays are among the most common dynamic phenomena in engineering practice, and when disregarded, they render controlled systems unstable.
An essential introduction to the analysis and verification of control system softwareThe verification of control system software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive.
A brand-new conceptual look at dynamical thermodynamics This book merges the two universalisms of thermodynamics and dynamical systems theory in a single compendium, with the latter providing an ideal language for the former, to develop a new and unique framework for dynamical thermodynamics.
Sirve como texto guía de pregrado y posgrado en todas las carreras que incluyan dentro de sus asignaturas modelos de optimización de carácter lineal y eficiencia en el manejo de los recursos; dentro de éstas se pueden mencionar ingeniería industrial, administración de empresas, economía y contaduría pública, entre otras.
Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data.
Integer Programming: Theory and Practice contains refereed articles that explore both theoretical aspects of integer programming as well as major applications.
Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language.
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.
Si desea adentrarse en el mundo de la programación desde cero y avanzar progresivamente hasta cubrir los aspectos más complejos de la programación en C++, mediante el análisis y desarrollo de gran cantidad de problemas algorítmicos de todos los niveles, este libro será su gran aliado.
Si desea obtener o entender sus propios datos textuales para descubrir y detectar automáticamente conocimiento valioso para su empresa, ha llegado al libro indicado.
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.
Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade.
This book introduces multiple criteria and multiple constraint levels linear programming (MC2LP), which is an extension of linear programming (LP) and multiple criteria linear programming (MCLP).
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.
Si ha mostrado interés en este libro, es probable que sienta curiosidad por saber cómo se desarrollan las aplicaciones que habitualmente maneja en su teléfono Android.
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.