• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Electromagnetic Theory Prof. D. K. Ghosh Department of Physics
Electromagnetic Theory Prof. D. K. Ghosh Department of Physics

Graph the direct variation equation
Graph the direct variation equation

Information Gathering and Reward Exploitation of Subgoals for
Information Gathering and Reward Exploitation of Subgoals for

Document
Document

Transportation problems Transportation problems
Transportation problems Transportation problems

... manage such solutions. ...
Module F12MS3: Oscillations and Waves
Module F12MS3: Oscillations and Waves

Differential Equations - The University of Texas at Dallas
Differential Equations - The University of Texas at Dallas

Section 6.3 Improper Integrals
Section 6.3 Improper Integrals

The Microstrip Ring Resonator for Characterising Microwave Materials
The Microstrip Ring Resonator for Characterising Microwave Materials

Dynamic Programming
Dynamic Programming

Generalised Integer Programming Based on Logically Defined
Generalised Integer Programming Based on Logically Defined

Analysis of Algorithms CS 465/665
Analysis of Algorithms CS 465/665

What time reversal invariance is and why it matters
What time reversal invariance is and why it matters

ppt - Department of Mathematics | University of Washington
ppt - Department of Mathematics | University of Washington

... Ax  b N A= B x0 there is a non-singular (m,m)-submatrix B (called basis) of A representing the vertex y (basic solution) as follows yB  B 1b, yN  0 ...
Realizing nonholonomic dynamics as limit of friction forces
Realizing nonholonomic dynamics as limit of friction forces

A New Torus Bounding for Line-Torus Intersection
A New Torus Bounding for Line-Torus Intersection

Convex Optimization Overview
Convex Optimization Overview

Lecture 12 : Identity and Equality I
Lecture 12 : Identity and Equality I

mohammad.ghoniem.info
mohammad.ghoniem.info

... (Ouis, Jussien, & Boizumault 2003; Freuder, Likitvivatanavong, & Wallace 2001), dynamic constraint handling (Debruyne et al. 2003) or even improvement of search algorithms (Ginsberg 1993; Jussien, Debruyne, & Boizumault 2000; Jussien & Lhomme 2002). However, explanations, as we defined them, provide ...
Artificial Intelligence Experimental results on the crossover point in
Artificial Intelligence Experimental results on the crossover point in

Chapter 8: Vectors and Parametric Equations
Chapter 8: Vectors and Parametric Equations

Positive and Negative Results for Higher
Positive and Negative Results for Higher

... 0+x= x s(x) + y = s(x + y) 0x = 0 s(x)  y = x  y + y @(x:F) = x:0 @(x:(F(x) + G(x))) = x:(@(F)(x) + @(G)(x)) @(x:(F(x)  G(x))) = x:(@(F)(x)  G(x) + F(x)  @(G)(x)) which denes basic rst-order objects i.e. the natural numbers together with addition and multiplication, involving rst-orde ...
Math - Jonesville Community Schools
Math - Jonesville Community Schools

... What is factor? What does it mean to factor? How do I identify prime numbers? How do I identify composite numbers? What is the difference between a prime and a composite number? What are multiples? How is skip counting related to identifying multiples? What is a product? What is the difference betwe ...
Fluid Limit for the Machine Repairman Model with Phase
Fluid Limit for the Machine Repairman Model with Phase

Algorithms for Manipulating Algebraic Functions
Algorithms for Manipulating Algebraic Functions

< 1 2 3 4 5 6 7 8 9 10 ... 168 >

Computational electromagnetics

Computational electromagnetics, computational electrodynamics or electromagnetic modeling is the process of modeling the interaction of electromagnetic fields with physical objects and the environment.It typically involves using computationally efficient approximations to Maxwell's equations and is used to calculate antenna performance, electromagnetic compatibility, radar cross section and electromagnetic wave propagation when not in free space.A specific part of computational electromagnetics deals with electromagnetic radiation scattered and absorbed by small particles.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report