This book serves as a preliminary reference for the principles of thermal radiation and its modelling in computational fluid dynamics (CFD) simulations.
Mathematical Methods for Life Sciences introduces calculus, and other key mathematical methods, to students from applied sciences (biology, biotechnology, chemistry, pharmacology, material science, etc).
This book departs from the assumption that Artificial Intelligence (AI) systems will provide a maximum advantage by replacing human cognitive processing.
Mathematical Methods for Life Sciences introduces calculus, and other key mathematical methods, to students from applied sciences (biology, biotechnology, chemistry, pharmacology, material science, etc).
Durch das Konzept der physikalischen Größe als Produkt von Zahlenwert und Einheit besitzen die Gleichungen der Physik eine Struktur, die sich mit den Methoden der Dimensionsanalyse zur Lösung physikalischer Probleme nutzen lässt.
Dieses Buch könnte interessant für Sie sein, falls Sie über eine solide mathematische Ausbildung verfügen und nun Anwendungsprobleme mit Hilfe von Optimierungsmodellen lösen möchten, ohne sich zuvor jahrelang mit der zugehörigen Theorie zu beschäftigen.
This proceedings volume gathers selected contributions presented at two instances of the "e;JSPS/SAC Seminar: On Gas Kinetic/Dynamics and Life Science"e;, held by the Chalmers University of Technology and University of Gothenburg, Sweden, on March 25-26, 2021 (virtual) and March 17-18, 2022 (virtual).
Computational fluid-structure interaction (FSI) and flow simulation are challenging research areas that bring solution and analysis to many classes of problems in science, engineering, and technology.
Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems.
Dieses Buch könnte interessant für Sie sein, falls Sie über eine solide mathematische Ausbildung verfügen und nun Anwendungsprobleme mit Hilfe von Optimierungsmodellen lösen möchten, ohne sich zuvor jahrelang mit der zugehörigen Theorie zu beschäftigen.
Mechatronics is a mongrel, a crossbreed of classic mechanical engineering, the relatively young pup of computer science, the energetic electrical engineering, the pedigree mathematics and the bloodhound of Control Theory.
Mechatronics is a mongrel, a crossbreed of classic mechanical engineering, the relatively young pup of computer science, the energetic electrical engineering, the pedigree mathematics and the bloodhound of Control Theory.
Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems.
This proceedings volume gathers selected contributions presented at two instances of the "e;JSPS/SAC Seminar: On Gas Kinetic/Dynamics and Life Science"e;, held by the Chalmers University of Technology and University of Gothenburg, Sweden, on March 25-26, 2021 (virtual) and March 17-18, 2022 (virtual).
Computational fluid-structure interaction (FSI) and flow simulation are challenging research areas that bring solution and analysis to many classes of problems in science, engineering, and technology.
Petri nets model concurrent and distributed systems where active components communicate through the production and absorption of various kinds of resources.
The book reviews the application of discrete fractional operators in diverse fields such as biological and chemical reactions, as well as chaotic systems, demonstrating their applications in physics.
This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods.
This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods.
Este libro se concibió para ser el texto básico de un curso de crecimiento para estudiantes de economía, con el fin de facilitar la lectura y la comprensión de los modelos tanto desde la técnica y la derivación matemática, como desde la intuición y los problemas reales que se pueden analizar a la luz de la teoría.
This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics.
This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics.
The book is focused on physical interpretation and visualization of the obtained invariant solutions for nonlinear mathematical modeling of atmospheric and ocean waves.
This volume provides an overview of two of the most important examples of interacting particle systems, the contact process, and the voter model, as well as their many variants introduced in the past 50 years.
This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data.
Clifford algebra for dual quaternions has emerged recently as an alternative to standard matrix algebra as a computational framework for computer graphics.
This book is focused on the application of methodological approaches and systems of multiple criteria decision analysis (MCDA) in the field of resource management.
This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data.
This book is focused on the application of methodological approaches and systems of multiple criteria decision analysis (MCDA) in the field of resource management.