Walton C Gibson
The Method of Moments in Electromagnetics
Walton C Gibson
The Method of Moments in Electromagnetics
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This book is intended for students, researchers and industry experts working in area of computational electromagnetics and the MoM. Providing a bridge between theory and software implementation, the book incorporates significant background material, while presenting practical, nuts-and-bolts implementation details.
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This book is intended for students, researchers and industry experts working in area of computational electromagnetics and the MoM. Providing a bridge between theory and software implementation, the book incorporates significant background material, while presenting practical, nuts-and-bolts implementation details.
Produktdetails
- Produktdetails
- Verlag: Taylor and Francis
- 3rd edition
- Seitenzahl: 510
- Erscheinungstermin: 7. September 2021
- Englisch
- Abmessung: 229mm x 152mm x 29mm
- Gewicht: 848g
- ISBN-13: 9780367365066
- ISBN-10: 0367365065
- Artikelnr.: 62507368
- Verlag: Taylor and Francis
- 3rd edition
- Seitenzahl: 510
- Erscheinungstermin: 7. September 2021
- Englisch
- Abmessung: 229mm x 152mm x 29mm
- Gewicht: 848g
- ISBN-13: 9780367365066
- ISBN-10: 0367365065
- Artikelnr.: 62507368
Walton C. Gibson was born in Birmingham, Alabama, USA on December 9, 1975. He received the B.S. degree in electrical engineering from Auburn University in 1996, and the M.S. degree in electrical engineering from the University of Illinois Urbana-Champaign in 1998. He is a recognized authority in the area of computational electromagnetics (CEM), and has authored The Method of Moments in Electromagnetics, a textbook geared to graduate-level courses in CEM, as well as the research community and practicing professionals. He is the owner and President of Tripoint Industries, Inc., through which he has authored lucernhammer, an industry-standard suite of radar cross section solver codes implementing low and high-frequency numerical techniques. His professional interests include electromagnetic theory, computational electromagnetics, moment methods, numerical algorithms and parallel computing.
1. Computational Electromagnetics. 1.1. CEM Algorithms. 2. The Method of
Moments. 2.1. Electrostatic Problems. 2.2. The Method of Moments. 2.3.
Common One-Dimensional Basis Functions. 3. Radiation and Scattering. 3.1.
Maxwell's Equations. 3.2. Electromagnetic Boundary Conditions. 3.3.
Formulations for Radiation. 3.4. Vector Potentials. 3.5. Near and Far
Field. 3.6. Formulations for Scattering. 4. Solution of Matrix Equations.
4.1. Direct Methods. 4.2. Iterative Methods. 4.3. Software for Linear
Systems. 5. Thin Wires. 5.1. Thin Wire Approximation. 5.2. Thin Wire
Excitations. 5.3. Hallen's Equation. 5.4. Pocklington's Equation. 5.5. Thin
Wires of Arbitrary Shape. 5.6. Examples. 6. Two-Dimensional Problems. 6.1.
Conducting Objects. 6.2. Dielectric and Composite Objects. 7. Bodies of
Revolution. 7.1. BOR Surface Description. 7.2. Expansion of Surface
Currents. 7.3. EFIE. 7.4. MFIE. 7.5. Solution. 7.6. nMFIE. 7.7. Numerical
Discretization. Notes on Software Implementation. Examples. 7.10. Treatment
of Junctions. 8. Three-Dimensional Problems. 8.1. Modeling of
Three-Dimensional Surfaces. 8.2. Expansion of Surface Currents. 8.3. EFIE.
8.4. MFIE. 8.5. nMFIE. 8.6. Enforcement of Boundary Conditions. 8.3.
Software Implementation Notes. 8.8. Numerical Examples. 9. Adaptive Cross
Approximation. 9.1. Rank Deficiency. 9.2. Adaptive Cross Approximation.
9.3. Clustering Techniques. 9.4. LU Factorization of ACA-Compressed
Techniques. 9.5. Solutionof theACA-Compressed Matrix System. 9.6. Software
Implementation Notes. 9.7. Numerical Examples. 10. Multi-Level Adaptive
Cross Approximation. 10.1. MLACA Compression of Matrix Blocks. 10.2. Direct
Solution of MLACA-Compressed Matrix System. 10.3. Software Implementation
Notes. 10.4. Numerical Exqamples. 11. The Fast Multipole Method. 11.1 The
N-Body Problem. 11.2. Matrix-Vector Product. 11.3. One-Level Fast Multipole
Algorithm. 11.4. Multi-Level Fast Multipole Algorithm (MLFMA). 11.5.
Preconditioners. 11.6. Software Implementation Notes. 11.7. Numerical
Examples. 12. Integrations. 12.1. One-Dimensional Integration. 12.2.
Integration over Triangles. A. Scattering Using Physical Optics. Index.
Moments. 2.1. Electrostatic Problems. 2.2. The Method of Moments. 2.3.
Common One-Dimensional Basis Functions. 3. Radiation and Scattering. 3.1.
Maxwell's Equations. 3.2. Electromagnetic Boundary Conditions. 3.3.
Formulations for Radiation. 3.4. Vector Potentials. 3.5. Near and Far
Field. 3.6. Formulations for Scattering. 4. Solution of Matrix Equations.
4.1. Direct Methods. 4.2. Iterative Methods. 4.3. Software for Linear
Systems. 5. Thin Wires. 5.1. Thin Wire Approximation. 5.2. Thin Wire
Excitations. 5.3. Hallen's Equation. 5.4. Pocklington's Equation. 5.5. Thin
Wires of Arbitrary Shape. 5.6. Examples. 6. Two-Dimensional Problems. 6.1.
Conducting Objects. 6.2. Dielectric and Composite Objects. 7. Bodies of
Revolution. 7.1. BOR Surface Description. 7.2. Expansion of Surface
Currents. 7.3. EFIE. 7.4. MFIE. 7.5. Solution. 7.6. nMFIE. 7.7. Numerical
Discretization. Notes on Software Implementation. Examples. 7.10. Treatment
of Junctions. 8. Three-Dimensional Problems. 8.1. Modeling of
Three-Dimensional Surfaces. 8.2. Expansion of Surface Currents. 8.3. EFIE.
8.4. MFIE. 8.5. nMFIE. 8.6. Enforcement of Boundary Conditions. 8.3.
Software Implementation Notes. 8.8. Numerical Examples. 9. Adaptive Cross
Approximation. 9.1. Rank Deficiency. 9.2. Adaptive Cross Approximation.
9.3. Clustering Techniques. 9.4. LU Factorization of ACA-Compressed
Techniques. 9.5. Solutionof theACA-Compressed Matrix System. 9.6. Software
Implementation Notes. 9.7. Numerical Examples. 10. Multi-Level Adaptive
Cross Approximation. 10.1. MLACA Compression of Matrix Blocks. 10.2. Direct
Solution of MLACA-Compressed Matrix System. 10.3. Software Implementation
Notes. 10.4. Numerical Exqamples. 11. The Fast Multipole Method. 11.1 The
N-Body Problem. 11.2. Matrix-Vector Product. 11.3. One-Level Fast Multipole
Algorithm. 11.4. Multi-Level Fast Multipole Algorithm (MLFMA). 11.5.
Preconditioners. 11.6. Software Implementation Notes. 11.7. Numerical
Examples. 12. Integrations. 12.1. One-Dimensional Integration. 12.2.
Integration over Triangles. A. Scattering Using Physical Optics. Index.
1. Computational Electromagnetics. 1.1. CEM Algorithms. 2. The Method of
Moments. 2.1. Electrostatic Problems. 2.2. The Method of Moments. 2.3.
Common One-Dimensional Basis Functions. 3. Radiation and Scattering. 3.1.
Maxwell's Equations. 3.2. Electromagnetic Boundary Conditions. 3.3.
Formulations for Radiation. 3.4. Vector Potentials. 3.5. Near and Far
Field. 3.6. Formulations for Scattering. 4. Solution of Matrix Equations.
4.1. Direct Methods. 4.2. Iterative Methods. 4.3. Software for Linear
Systems. 5. Thin Wires. 5.1. Thin Wire Approximation. 5.2. Thin Wire
Excitations. 5.3. Hallen's Equation. 5.4. Pocklington's Equation. 5.5. Thin
Wires of Arbitrary Shape. 5.6. Examples. 6. Two-Dimensional Problems. 6.1.
Conducting Objects. 6.2. Dielectric and Composite Objects. 7. Bodies of
Revolution. 7.1. BOR Surface Description. 7.2. Expansion of Surface
Currents. 7.3. EFIE. 7.4. MFIE. 7.5. Solution. 7.6. nMFIE. 7.7. Numerical
Discretization. Notes on Software Implementation. Examples. 7.10. Treatment
of Junctions. 8. Three-Dimensional Problems. 8.1. Modeling of
Three-Dimensional Surfaces. 8.2. Expansion of Surface Currents. 8.3. EFIE.
8.4. MFIE. 8.5. nMFIE. 8.6. Enforcement of Boundary Conditions. 8.3.
Software Implementation Notes. 8.8. Numerical Examples. 9. Adaptive Cross
Approximation. 9.1. Rank Deficiency. 9.2. Adaptive Cross Approximation.
9.3. Clustering Techniques. 9.4. LU Factorization of ACA-Compressed
Techniques. 9.5. Solutionof theACA-Compressed Matrix System. 9.6. Software
Implementation Notes. 9.7. Numerical Examples. 10. Multi-Level Adaptive
Cross Approximation. 10.1. MLACA Compression of Matrix Blocks. 10.2. Direct
Solution of MLACA-Compressed Matrix System. 10.3. Software Implementation
Notes. 10.4. Numerical Exqamples. 11. The Fast Multipole Method. 11.1 The
N-Body Problem. 11.2. Matrix-Vector Product. 11.3. One-Level Fast Multipole
Algorithm. 11.4. Multi-Level Fast Multipole Algorithm (MLFMA). 11.5.
Preconditioners. 11.6. Software Implementation Notes. 11.7. Numerical
Examples. 12. Integrations. 12.1. One-Dimensional Integration. 12.2.
Integration over Triangles. A. Scattering Using Physical Optics. Index.
Moments. 2.1. Electrostatic Problems. 2.2. The Method of Moments. 2.3.
Common One-Dimensional Basis Functions. 3. Radiation and Scattering. 3.1.
Maxwell's Equations. 3.2. Electromagnetic Boundary Conditions. 3.3.
Formulations for Radiation. 3.4. Vector Potentials. 3.5. Near and Far
Field. 3.6. Formulations for Scattering. 4. Solution of Matrix Equations.
4.1. Direct Methods. 4.2. Iterative Methods. 4.3. Software for Linear
Systems. 5. Thin Wires. 5.1. Thin Wire Approximation. 5.2. Thin Wire
Excitations. 5.3. Hallen's Equation. 5.4. Pocklington's Equation. 5.5. Thin
Wires of Arbitrary Shape. 5.6. Examples. 6. Two-Dimensional Problems. 6.1.
Conducting Objects. 6.2. Dielectric and Composite Objects. 7. Bodies of
Revolution. 7.1. BOR Surface Description. 7.2. Expansion of Surface
Currents. 7.3. EFIE. 7.4. MFIE. 7.5. Solution. 7.6. nMFIE. 7.7. Numerical
Discretization. Notes on Software Implementation. Examples. 7.10. Treatment
of Junctions. 8. Three-Dimensional Problems. 8.1. Modeling of
Three-Dimensional Surfaces. 8.2. Expansion of Surface Currents. 8.3. EFIE.
8.4. MFIE. 8.5. nMFIE. 8.6. Enforcement of Boundary Conditions. 8.3.
Software Implementation Notes. 8.8. Numerical Examples. 9. Adaptive Cross
Approximation. 9.1. Rank Deficiency. 9.2. Adaptive Cross Approximation.
9.3. Clustering Techniques. 9.4. LU Factorization of ACA-Compressed
Techniques. 9.5. Solutionof theACA-Compressed Matrix System. 9.6. Software
Implementation Notes. 9.7. Numerical Examples. 10. Multi-Level Adaptive
Cross Approximation. 10.1. MLACA Compression of Matrix Blocks. 10.2. Direct
Solution of MLACA-Compressed Matrix System. 10.3. Software Implementation
Notes. 10.4. Numerical Exqamples. 11. The Fast Multipole Method. 11.1 The
N-Body Problem. 11.2. Matrix-Vector Product. 11.3. One-Level Fast Multipole
Algorithm. 11.4. Multi-Level Fast Multipole Algorithm (MLFMA). 11.5.
Preconditioners. 11.6. Software Implementation Notes. 11.7. Numerical
Examples. 12. Integrations. 12.1. One-Dimensional Integration. 12.2.
Integration over Triangles. A. Scattering Using Physical Optics. Index.