Listing 1 - 10 of 235 | << page >> |
Sort by
|
Choose an application
Computational optimization is an active and important area of study, practice, and research today. It covers a wide range of applications in engineering, science, and industry. It provides solutions to a variety of real-life problems in the fields of health, business, government, military, politics, security, education, and many more. This book compiles original and innovative findings on all aspects of computational optimization. It presents various examples of optimization including cost, energy, profits, outputs, performance, and efficiency. It also discusses different types of optimization problems like nonlinearity, multimodality, discontinuity, and uncertainty. Over thirteen chapters, the book provides researchers, practitioners, academicians, military professionals, government officials, and other industry professionals with an in-depth discussion of the latest advances in the field.
Choose an application
Constrained optimization. --- Optimization, Constrained --- Mathematical optimization
Choose an application
This dissertation by George Osipov explores constraint satisfaction problems (CSPs) with a focus on parameterization by solution cost. It is a scientific study from the Faculty of Science and Engineering at Linköping University, examining the theoretical and practical aspects of solving CSPs efficiently. The work delves into the complexity and algorithmic strategies for optimizing CSP solutions, aiming to advance understanding in computer and information science. The intended audience includes scholars and practitioners in the fields of computer science and engineering, particularly those interested in computational theory and optimization.
Choose an application
This thesis by Tommy Färnqvist explores the computational complexity and approximability of problems within the constraint satisfaction framework (CSP). It delves into the structural restrictions of CSP-related problems, utilizing graph and hypergraph acyclicity measures to identify classes of problems that are efficiently solvable. The work also investigates various optimization problems associated with CSP, such as minimizing or maximizing assignment costs and counting possible variable assignments. The second part examines the approximability of the MAXCSP problem in graphs, introducing a novel method for determining approximation ratios. The research contributes to theoretical computer science by identifying relational structures and parameters that allow for efficient algorithms. It is intended for an academic audience interested in computational complexity and optimization.
Choose an application
Constraints (Physics) --- Dynamics --- Quantum theory --- Relativity (Physics) --- Constrain (Physics) --- Constrained dynamics --- Degree of freedom --- Physics --- Congresses
Choose an application
In dieser Arbeit werden zur Überwachung von Drei-Wege-Katalysatoren zwei neue modellbasierte On-Board-Diagnoseverfahren vorgestellt. Zunächst wurde ein die Alterung mit berücksichtigendes physikalisches Katalysatormodell entwickelt. Dieses bildet die Grundlage der neuen Diagnoseverfahren, bei denen ein den aktuellen Zustand des Katalysators schätzender Sigma-Punkt-Kalman-Filter zum Einsatz kommt. Das große Potential dieser neuen Diagnoseverfahren zeigen die abschließend präsentierten Ergebnisse.
Abgastemperatur --- Spektrale Verfahren --- Constrained Sigma-Punkt-Kalman-Filter --- Drei-Wege-Katalysator-Modell --- On-Board-Diagnose
Choose an application
Planning (firm) --- 681.3*G16 --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis)
Choose an application
681.3*G16 --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Programmation (mathématiques)
Choose an application
681.3*G16 --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Operational research. Game theory
Choose an application
Operational research. Game theory --- Nonlinear programming --- 519.85 --- 681.3*G16 --- Programming (Mathematics) --- Mathematical programming --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Nonlinear programming. --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 519.85 Mathematical programming --- Programmation (mathématiques) --- Programmation mathematique --- Programmation non lineaire
Listing 1 - 10 of 235 | << page >> |
Sort by
|