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Elements of Simulation
Elements of Simulation

Reinforcement Learning for Neural Networks using Swarm Intelligence
Reinforcement Learning for Neural Networks using Swarm Intelligence

292806
292806

Thin-sheet electromagnetic inversion modeling using Monte Carlo Markov Chain (MCMC) algorithm
Thin-sheet electromagnetic inversion modeling using Monte Carlo Markov Chain (MCMC) algorithm

Wavelength management in WDM rings to maximize the
Wavelength management in WDM rings to maximize the

... ≈ 1.68394 when the optimal numwith approximation ratio approaching 32 + 2e ber of colors is substantially large compared to the size of the ring has been presented in [15]. For general values of w, problems maxPC and maxRPC are NP-hard; their NP-hardness follow by the NP-hardness of problems PC and ...
Vector Analysis
Vector Analysis

Research on Mathematical Models of Tax Planning for
Research on Mathematical Models of Tax Planning for

First Order Differential Equations
First Order Differential Equations

Solving Linear Congruences
Solving Linear Congruences

Electromagnetic Induction
Electromagnetic Induction

The Hardest Random SAT Problems
The Hardest Random SAT Problems

... will not eliminate the constraint gap nor variable behaviour. Indeed, we found tentative evidence of variability. At L/N = 2.6, one problem needed 75 branches, almost 3 times more than the next worse case over the whole experiment. The minimum value for the ratio of all propagations to splits also o ...
Equations in One Variable I
Equations in One Variable I

... In the remainder of this chapter, we’ll cover a few basic rules of algebra that can be used to help us find solutions of equations. We’ll learn when equations are equivalent — either by addition, multiplication, or invertible functions — and we’ll see that equivalent equations have the same solution ...
Regularization Tools
Regularization Tools

... Singular values are discussed in detail in Section 2.3. Criterion 2 implies that the matrix A is ill-conditioned, i.e., that the solution is potentially very sensitive to perturbations; criterion 1 implies that there is no “nearby” problem with a well-conditioned coefficient matrix and with well-det ...
COMPLEX NUMBERS, UNDETERMINED
COMPLEX NUMBERS, UNDETERMINED

physics syllabus - CurriculumOnline.ie
physics syllabus - CurriculumOnline.ie

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Applied Algebra II

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Comparison Four Different Probability Sampling Methods based on

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Polynomial filtration laws for low Reynolds number
Polynomial filtration laws for low Reynolds number

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Solution of a Mathematical Model Describing the Change of

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using standard prb s

... assisted tunneling mechanisms of ionization. Namely, the dependence of emission rate on electric field is given by ln(e) ⬀冑E for the case of Poole-Frenkel model, while for the phonon assisted tunneling the electric field dependence is given by ln(e)⬀E2. Hence, a simple way to distinguish these two m ...
Paper - ResearchGate
Paper - ResearchGate

A Heuristic for a Mixed Integer Program using the Characteristic
A Heuristic for a Mixed Integer Program using the Characteristic

< 1 ... 8 9 10 11 12 13 14 15 16 ... 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.
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