000			01974nam a22002177a 4500
005			20220426111148.0
008			220315b ||||| |||| 00| 0 eng d
020			_a9781466563889
040			_cAL
041			_aeng
082			_223 _a621.36501518 _bLAVN
100			_aAndrei Lavrinenko V _923728
245			_aNumerical methods in photonics
260			_aLondon _bCRC Press Taylor and Francis Group _c2015
300			_axix,334p. _bHB _c24x16cm.
365			_2General _aABD/0565/22 _b₹3970.45 _c₹ _d₹5293.94 _e25% _f07/03/2022
520			_aSimulation 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® 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.
650			_2Photonics _aNumerical analysis _923729
700			_aLaegsgaard Jesper;et.al _923730
942			_2ddc _cBK
999			_c221890 _d221890