This book discusses various inverse problems for the time-fractional diffusion equation, such as inverse coefficient problems (nonlinear problems) and inverse problems for determining the right-hand sides of equations and initial functions (linear problems).
Métodos numéricos con aplicaciones a la ingeniería es el resultado de un trabajo en el aula de clase de esta materia, dictada en diferentes universidades durante más de diez años; se presentan los temas de manera natural donde el estudiante, por medio de ejemplos aplicados, contextualiza los temas expuestos en el libro apoyándose en un software matemático (Matlab).
This book discusses various inverse problems for the time-fractional diffusion equation, such as inverse coefficient problems (nonlinear problems) and inverse problems for determining the right-hand sides of equations and initial functions (linear problems).
This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer.
This book presents a new methodology to develop system-level brain models using ordinary differential equations (ODE), which are to be solved and analyzed through simple Python scripts.
This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer.
This book highlights a comprehensive overview of research and technical advances related to parametric array loudspeakers (PALs), covering modeling and simulation, measurements, signal processing, beamsteering, and their implementations and applications.
This book highlights a comprehensive overview of research and technical advances related to parametric array loudspeakers (PALs), covering modeling and simulation, measurements, signal processing, beamsteering, and their implementations and applications.
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.
The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models.
This book presents a historical account of Felix Klein's "e;Comparative Reflections on Recent Research in Geometry"e; (1872), better known as his "e;Erlangen Program.
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.
The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models.
Dieses Lehrbuch bietet fortgeschrittenen Studierenden im Bachelorstudium eine konzise Einführung in das Gebiet der Variationsrechnung und eignet sich als Grundlage einer einsemestrigen Vorlesung.
This book offers a comprehensive exploration of how Big Data analytics is reshaping the financial world, providing crucial insights for industry professionals, scholars, and enthusiasts alike.
Dieses nun seit 50 Jahren bewährte und kontinuierlich überarbeitete Lehrbuch eignet sich bestens als Grundlage für eine zweisemestrige einführende Vorlesung für Studierende der Mathematik, Physik und Informatik, aber auch für andere Fächer, die mathematische Grundlagen aus der Linearen Algebra benötigen.
Dieses kompakte Lehrbuch führt in die grundlegenden Problemstellungen, Begriffe und Konzepte der Graphentheorie ein und liefert einen entsprechenden Überblick: In den ersten beiden Kapiteln werden die grundlegenden Begriffe geklärt – alle anderen Kapitel behandeln darauf aufbauend und weitgehend unabhängig voneinander jeweils einen wichtigen Problemkreis.
This book includes high-quality papers presented at 18th International Conference on Information Technology and Applications (ICITA 2024), held in Sydney, Australia, during October 17-19, 2024.
Dieses Lehrbuch bietet fortgeschrittenen Studierenden im Bachelorstudium eine konzise Einführung in das Gebiet der Variationsrechnung und eignet sich als Grundlage einer einsemestrigen Vorlesung.
Standards, Emergence, and Complex Outcomes redefines how we think about standards, framing them as interfaces that govern interactions and connect causes to their effects.
Introduction to Political Analysis in R is a comprehensive guide for students and researchers eager to delve into the intersection of data science, statistics, and political science.
This monograph investigates the trajectory optimization problems of low- and finite-thrust aerospace vehicles and spacecraft using an indirect method based on the Pontryagin maximum principle, providing a methodological basis for the construction of numerical techniques that are superior in versatility and accuracy to direct methods.
A Survey of Mathematics with Applications is a text you can actually read, understand and enjoy while learning how math impacts your world (especially for majors in the liberal arts, social sciences, business, nursing, and allied health fields).
Mathematics and Computer Science for Real-World Applications gives invaluable insights into how mathematical and computer sciences drive essential modern innovations that enhance everyday life, making it a must-read for anyone interested in the intersection of mathematics and technology and their real-world applications.
This book provides a practical, application-driven guide to using R for public health and health data science, accessible to both beginners and those with some coding experience.
First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory.
Teaching and Learning Mathematics Online, Second Edition continues to present meaningful and practical solutions for teaching mathematics and statistics online.
First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory.
Since they were first formulated in 1972, generalized linear models have enjoyed a veritable boom, with numerous applications in insurance, economics and biostatistics.
Teaching and Learning Mathematics Online, Second Edition continues to present meaningful and practical solutions for teaching mathematics and statistics online.
