table_of_contents.ipynb

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    "<center><h1>Mathematics of Signals and Systems</h1></center>\n",
    "<p>\n",
    " <p>\n",
    "\n",
    "## Table of Contents\n",
    "\n",
    "The following links have been developed by BYU graduate students enrolled in ECEn 671 **Mathematics of Signals and Systems** during Fall Semester 2018.\n",
    "\n",
    "[**Topic 1. Vector Spaces**](t1_vector_spaces.ipynb)\n",
    "\n",
    "[**Topic 2.  Vector norms: 1-norm, 2-norm, p-norm, infinity-norm**](t2_vector_norms.ipynb)\n",
    "\n",
    "[**Topic 3.  Inner product and inner product spaces**](t3_inner_products.ipynb)\n",
    "\n",
    "[**Topic 4.  Linear independence**](t4_linear_independence.ipynb)\n",
    "\n",
    "[**Topic 5.  Orthonormal bases for vector spaces**](t5_orthonormal_bases.ipynb)\n",
    "\n",
    "[**Topic 6.  Projection operators**](t6_projection_operators.ipynb)\n",
    "\n",
    "[**Topic 7.  Gram-Schmidt orthogonalization**](t7_gram_schmidt.ipynb)\n",
    "\n",
    "[**Topic 8.  Linear regression (least squares)**](t8_linear_regression.ipynb)\n",
    "\n",
    "[**Topic 9.  Dual approximation (min-norm solutions)**](t9_dual_approximation.ipynb)\n",
    "\n",
    "[**Topic 10.  Generalized Fourier series**](t10_generalized_fourier_series.ipynb)\n",
    "\n",
    "[**Topic 11. Matrix norms**](t11_matrix_norms.ipynb)\n",
    "\n",
    "[**Topic 12. Linear operators**](t12_linear_operators.ipynb)\n",
    "\n",
    "[**Topic 13. Adjoint operators**](t13_adjoint_operators.ipynb)\n",
    "\n",
    "[**Topic 14. Matrix Inverses and pseudo-inverses**](t14_matrix_inverse.ipynb)\n",
    "\n",
    "[**Topic 15. The matrix inversion lemma**](t15_matrix_inversion_lemma.ipynb)\n",
    "\n",
    "[**Topic 16. Recursive least squares**](t16_recursive_least_squares.ipynb)\n",
    "\n",
    "[**Topic 17. LU Factorization**](t17_lu_factorization.ipynb)\n",
    "\n",
    "[**Topic 18. Cholesky Factorization**](t18_cholesky_factorization.ipynb)\n",
    "\n",
    "[**Topic 19. QR Factorization**](t19_qr_factorization.ipynb)\n",
    "\n",
    "[**Topic 20. Eigenvalues and eigenvectors**](t20_eigenvalues.ipynb)\n",
    "\n",
    "[**Topic 21. The matrix exponential**](t21_matrix_exponential.ipynb)\n",
    "\n",
    "[**Topic 22. Differential equations and invariant subspaces**](t22_invariant_subspaces.ipynb)\n",
    "\n",
    "[**Topic 23. Quadratic Forms**](t23_quadratic_forms.ipynb)\n",
    "\n",
    "[**Topic 24. Singular Value Decomposition**](t24_singular_value_decomposition.ipynb)\n",
    "\n",
    "[**Topic 25. The four fundamental spaces of a matrix**](t25_matrix_subspaces.ipynb)\n",
    "\n",
    "[**Topic 26. Rank reducing approximations of a matrix**](t26_rank_reduction.ipynb)\n",
    "\n",
    "[**Topic 27. Gradient Descent**](t27_gradient_descent.ipynb)\n",
    "\n",
    "[**Topic 28. Lagrange Multipliers**](t28_lagrange_multipliers.ipynb)\n",
    "\n",
    "[**Topic 29. Kuhn-Tucker Conditions**](t29_kuhn_tucker.ipynb)\n",
    "\n",
    "\n",
    "## Github repository\n",
    "https://github.com/randybeard/ece671-jupyter.git\n",
    "\n",
    "Viewer only: http://nbviewer.jupyter.org/github/randybeard/ece671-jupyter/blob/master/table_of_contents.ipynb\n",
    "\n",
    "This Jupyter book is mimicking the style of the following book:\n",
    "\n",
    "http://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python\n",
    "\n",
    "\n",
    "#format the book\n",
    "from book_format import load_style\n",
    "load_style()"
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