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Simulation and modeling using numerical methods is one of the key
instruments in any scientific work. In the field of photonics, a
wide range of numerical methods are used for studying both
fundamental optics and applications such as design, development,
and optimization of photonic components. Modeling is key for
developing improved photonic devices and reducing development time
and cost. Choosing the appropriate computational method for a
photonics modeling problem requires a clear understanding of the
pros and cons of the available numerical methods. Numerical Methods
in Photonics presents six of the most frequently used methods:
FDTD, FDFD, 1+1D nonlinear propagation, modal method, Green's
function, and FEM. After an introductory chapter outlining the
basics of Maxwell's equations, the book includes self-contained
chapters that focus on each of the methods. Each method is
accompanied by a review of the mathematical principles in which it
is based, along with sample scripts, illustrative examples of
characteristic problem solving, and exercises. MATLAB (R) is used
throughout the text. This book provides a solid basis to practice
writing your own codes. The theoretical formulation is complemented
by sets of exercises, which allow you to grasp the essence of the
modeling tools.
Simulation and modeling using numerical methods is one of the key
instruments in any scientific work. In the field of photonics, a
wide range of numerical methods are used for studying both
fundamental optics and applications such as design, development,
and optimization of photonic components. Modeling is key for
developing improved photonic devices and reducing development time
and cost. Choosing the appropriate computational method for a
photonics modeling problem requires a clear understanding of the
pros and cons of the available numerical methods. Numerical Methods
in Photonics presents six of the most frequently used methods:
FDTD, FDFD, 1+1D nonlinear propagation, modal method, Green's
function, and FEM. After an introductory chapter outlining the
basics of Maxwell's equations, the book includes self-contained
chapters that focus on each of the methods. Each method is
accompanied by a review of the mathematical principles in which it
is based, along with sample scripts, illustrative examples of
characteristic problem solving, and exercises. MATLAB (R) is used
throughout the text. This book provides a solid basis to practice
writing your own codes. The theoretical formulation is complemented
by sets of exercises, which allow you to grasp the essence of the
modeling tools.
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