Special Continuous Distributions Exam Study Material for Gate ECE

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Advanced Engineering Mathematics (View More...)

Spectrum of Special Matrices Positive / Negative Definite Matrices	lec10	00:28 to 04:26	PDF	VIDEO
Spectrum of Special Matrices Positive / Negative Definite Matrices	lec10	04:26 to 09:01	PDF	VIDEO
Spectrum of Special Matrices Positive / Negative Definite Matrices	lec10	12:15 to 17:38	PDF	VIDEO
Spectrum of Special Matrices Positive / Negative Definite Matrices	lec10	25:56 to 30:24	PDF	VIDEO
Spectrum of Special Matrices Positive / Negative Definite Matrices	lec10	46:02 to 51:14	PDF	VIDEO
Special Continuous Distributions	lec37	08:33 to 13:40	PDF	VIDEO
Special Continuous Distributions	lec37	19:53 to 24:02	PDF	VIDEO
Special Continuous Distributions	lec37	28:48 to 32:43	PDF	VIDEO
Special Continuous Distributions	lec37	35:58 to 39:33	PDF	VIDEO
Special Continuous Distributions	lec37	51:44 to 56:56	PDF	VIDEO

Circuit Theory (View More...)

Amplitude and Phase of Network Functions	lec11	17:58 to 21:30	PDF	VIDEO
Amplitude and Phase of Network Functions	lec11	29:57 to 35:23	PDF	VIDEO
Amplitude and Phase of Network Functions	lec11	43:53 to upto	PDF	VIDEO
Problem Session 4: Network Functions and Analysis	lec18	24:08 to 27:38	PDF	VIDEO
Testing of Positive Real Functions	lec38	02:28 to 06:36	PDF	VIDEO
Testing of Positive Real Functions	lec38	10:01 to 13:14	PDF	VIDEO
Testing of Positive Real Functions	lec38	14:50 to 17:53	PDF	VIDEO
Testing of Positive Real Functions	lec38	19:32 to 24:14	PDF	VIDEO
Testing of Positive Real Functions	lec38	40:04 to 44:37	PDF	VIDEO
lec46	lec46	00:37 to 00:40	PDF	VIDEO

Digital System Design (View More...)

Boolean Function Minimization	lec8	37:13 to 38:21	PDF	VIDEO
Boolean Function Minimization	lec8	44:29 to 45:09	PDF	VIDEO
Boolean Function Minimization	lec8	46:24 to 49:27	PDF	VIDEO
Boolean Function Minimization	lec9	07:03 to 09:46	PDF	VIDEO
Boolean Function Minimization	lec9	13:01 to 18:00	PDF	VIDEO
Boolean Function Minimization	lec9	25:22 to 28:24	PDF	VIDEO
Boolean Function Minimization	lec9	29:11 to 30:20	PDF	VIDEO
Boolean Function Minimization	lec9	32:06 to 34:50	PDF	VIDEO
Boolean Function Minimization	lec9	35:41 to 38:37	PDF	VIDEO
Boolean Function Minimization	lec9	38:37 to 40:51	PDF	VIDEO

Mathematics I (View More...)

Functions of Several Variables	lec22	01:17 to 04:07	PDF	VIDEO
Functions of Several Variables	lec22	04:07 to 07:46	PDF	VIDEO
Functions of Several Variables	lec22	19:03 to 23:41	PDF	VIDEO
Properties of Continuous Functions	lec6	08:12 to 12:44	PDF	VIDEO
Properties of Continuous Functions	lec6	18:12 to 23:26	PDF	VIDEO
Properties of Continuous Functions	lec6	28:36 to 31:38	PDF	VIDEO
Properties of Continuous Functions	lec6	34:41 to 39:57	PDF	VIDEO
Properties of Continuous Functions	lec6	46:51 to 51:58	PDF	VIDEO
Properties of Continuous Functions	lec6	51:58 to 55:05	PDF	VIDEO
Differential Functions	lec8	05:18 to 08:21	PDF	VIDEO

Mathematics-II (View More...)

Evaluation of Real Improper Integrals 2	lec11	00:51 to 04:30	PDF	VIDEO
Evaluation of Real Improper Integrals 2	lec11	41:48 to upto	PDF	VIDEO
Evaluation of Real Integrals Revision	lec14	12:29 to 20:32	PDF	VIDEO
Evaluation of Real Integrals Revision	lec14	32:39 to 43:16	PDF	VIDEO
Functions of Complex Variables Part-I	lec33	06:29 to 09:19	PDF	VIDEO
Functions of Complex Variables Part-I	lec33	41:58 to 43:15	PDF	VIDEO
Functions of Complex Variables Part - 2	lec34	04:03 to 06:08	PDF	VIDEO
Functions of Complex Variables Part - 2	lec34	06:08 to 09:05	PDF	VIDEO
Functions of Complex Variables Part - 2	lec34	12:32 to 13:41	PDF	VIDEO
Zeroes, Singularities and Poles	lec6	23:18 to 28:53	PDF	VIDEO

Mathematics-III (View More...)

Boundary Value Problems	lec22	47:49 to upto	PDF	VIDEO
Second Order Partial Differential Equations-I	lec31	34:37 to 36:01	PDF	VIDEO
Solution of Homogeneous and Non Homogeneous Equations	lec34	03:17 to 06:03	PDF	VIDEO
Solution of Homogeneous and Non Homogeneous Equations	lec34	10:52 to 13:28	PDF	VIDEO
Solution of Homogeneous and Non Homogeneous Equations	lec34	18:11 to 21:43	PDF	VIDEO
Bessel Functions and Their Properties	lec6	27:22 to 29:31	PDF	VIDEO
Bessel Functions and Their Properties	lec6	45:46 to 47:48	PDF	VIDEO
Bessel Functions and Their Properties	lec6	48:25 to upto	PDF	VIDEO
Bessel Functions and their Properties (Contd.)	lec7	48:12 to 49:27	PDF	VIDEO
Bessel Functions and their Properties (Contd.)	lec7	49:27 to upto	PDF	VIDEO

Ordinary Differential Equations and Applications (View More...)

Lyapunov Function	lec34	10:29 to 15:52	PDF	VIDEO
Lyapunov Function	lec34	55:49 to upto	PDF	VIDEO
Lyapunov Function Continued	lec35	05:07 to 09:28	PDF	VIDEO
Lyapunov Function Continued	lec35	09:28 to 14:23	PDF	VIDEO
Lyapunov Function Continued	lec35	16:45 to 19:24	PDF	VIDEO
Lyapunov Function Continued	lec35	19:24 to 24:54	PDF	VIDEO
Lyapunov Function Continued	lec35	27:11 to 30:11	PDF	VIDEO
Lyapunov Function Continued	lec35	30:11 to 35:41	PDF	VIDEO
Lyapunov Function Continued	lec35	35:41 to 39:25	PDF	VIDEO
Lyapunov Function Continued	lec35	39:25 to 45:40	PDF	VIDEO

Probability and Statistics (View More...)

Special Distributions-I	lec10	00:33 to 03:34	PDF	VIDEO
Special Distributions-I	lec10	06:43 to 09:58	PDF	VIDEO
Special Distributions-I	lec10	18:19 to 23:34	PDF	VIDEO
Special Distributions-I	lec10	44:36 to 51:19	PDF	VIDEO
Special Distributions - III	lec12	34:37 to 37:35	PDF	VIDEO
Special Distributions - III	lec12	37:35 to 42:24	PDF	VIDEO
Special Distributions-IV	lec13	43:19 to 47:16	PDF	VIDEO
Special Distributions VII	lec16	00:28 to 04:59	PDF	VIDEO
Function of a Random Variable	lec17	12:48 to 16:21	PDF	VIDEO
Function of a Random Variable	lec17	49:40 to 52:48	PDF	VIDEO

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Pattern Recognition (View More...)

Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	36:43 to 39:25	PDF	VIDEO
Multilayer Feedforward Neural networks with Sigmoidal activation functions	lec27	43:25 to 46:28	PDF	VIDEO
Radial Basis Function Networks; Gaussian RBF networks	lec30	48:53 to 50:46	PDF	VIDEO
Radial Basis Function Networks; Gaussian RBF networks	lec30	56:37 to upto	PDF	VIDEO
Kernel Functions for non-linear SVMs; Mercer and positive definite Kernels	lec34	39:53 to 43:01	PDF	VIDEO
Kernel Functions for non-linear SVMs; Mercer and positive definite Kernels	lec34	57:48 to upto	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	08:17 to 09:19	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	09:19 to 11:14	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	11:14 to 12:03	PDF	VIDEO

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