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Ondrej Straka
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2020 – today
- 2024
- [j34]Ondrej Straka, Ivo Puncochár:
Active fault diagnosis for stochastic large scale systems under non-separable costs. Autom. 159: 111348 (2024) - [j33]Shuo Tang
, Tales Imbiriba, Jindrich Duník
Augmented Physics-Based Models for High-Order Markov Filtering. Sensors 24(18): 6132 (2024) - [j32]Tales Imbiriba
Augmented Physics-Based Machine Learning for Navigation and Tracking. IEEE Trans. Aerosp. Electron. Syst. 60(3): 2692-2704 (2024) - [c96]Petr Tichavský, Ondrej Straka:
Tensor Train Approximation of Multivariate Functions. EUSIPCO 2024: 2262-2266 - [c95]Jirí Ajgl, Ondrej Straka:
On fusion of probability density functions using tensor train decomposition. FUSION 2024: 1-6 - [c94]Jindrich Duník, Jakub Matousek, Ondrej Straka, Erik Blasch, John Hiles, Ruixin Niu:
Stochastic Integration Based Estimator: Robust Design and Stone Soup Implementation. FUSION 2024: 1-8 - [c93]Jindrich Duník, Ivo Puncochár, Ladislav Král, Ondrej Straka, O. Daniel, Fabricio dos Santos Prol, Muwahida Liaquat, Mohammad Zahidul Hasan Bhuiyan:
Multi-layer GNSS and LEO-PNT Positioning: Integrity under Constellations' Correlation. FUSION 2024: 1-8 - [c92]Jan Krejcí, Oliver Kost, Ondrej Straka, Jindrich Duník:
Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model. FUSION 2024: 1-8 - [c91]Ondrej Straka, Jindrich Havlík:
Design of Unitless Normalized Measure of Nonlinearity for State Estimation. FUSION 2024: 1-7 - [c90]Jirí Ajgl, Ondrej Straka:
Dual Approach to Inverse Covariance Intersection Fusion. MFI 2024: 1-6 - [c89]Jan Krejcí, Oliver Kost, Ondrej Straka, Jindrich Duník:
Pedestrian Tracking with Monocular Camera: Simple 2D Filter Springing From 3D Modeling. MFI 2024: 1-6 - [c88]Zdenek Boucek, Miroslav Flídr, Ondrej Straka:
Trajectory Tracking for UAVs: An Interpolating Control Approach. MMAR 2024: 387-392 - [c87]Jindrich Duník, Ondrej Straka, Oliver Kost, S. Tang, Tales Imbiriba, Pau Closas:
Noise Identification for Data-Augmented Physics-Based State-Space Models. SiPS 2024: 101-106 - [i8]Jan Krejcí, Oliver Kost, Ondrej Straka, Jindrich Duník:
Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model. CoRR abs/2403.11978 (2024) - [i7]Zdenek Boucek
Mission Planner for UAV Battery Replacement. CoRR abs/2407.01084 (2024) - [i6]Zdenek Boucek, Miroslav Flídr, Ondrej Straka:
Trajectory Tracking for UAVs: An Interpolating Control Approach. CoRR abs/2407.01095 (2024) - [i5]Zdenek Boucek
UAV Trajectory Planning with Path Processing. CoRR abs/2407.01366 (2024) - [i4]Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar:
AI-Aided Kalman Filters. CoRR abs/2410.12289 (2024) - [i3]Ondrej Straka, Jindrich Havlík:
Design of Unitless Normalized Measure of Nonlinearity for State Estimation. CoRR abs/2410.13539 (2024) - 2023
- [j31]Jindrich Duník
Design of Efficient Point-Mass Filter for Linear and Nonlinear Dynamic Models. IEEE Control. Syst. Lett. 7: 2005-2010 (2023) - [j30]Oliver Kost
Measurement Difference Method: A Universal Tool for Noise Identification. IEEE Trans. Autom. Control. 68(3): 1792-1799 (2023) - [j29]Oliver Kost
Identification of GNSS Measurement Error: From Time to Elevation Dependency. IEEE Trans. Aerosp. Electron. Syst. 59(6): 8931-8943 (2023) - [j28]Sárka Portesová
To Click, or Not to Click? Perfectionism and the Association of Gender and Competitiveness on Game-Point Monitoring. Technol. Knowl. Learn. 28(4): 1841-1870 (2023) - [j27]Petr Tichavský
Grid-Based Bayesian Filters With Functional Decomposition of Transient Density. IEEE Trans. Signal Process. 71: 92-104 (2023) - [c86]Jirí Ajgl, Ondrej Straka:
Approximate fusion of probability density functions using Gaussian copulas. FUSION 2023: 1-7 - [c85]Jindrich Duník, Ladislav Král, Ivo Puncochár, Ondrej Straka, Ondrej Daniel, O. Lushchykov:
Fault Detection in Resilient Time Provision. FUSION 2023: 1-8 - [c84]Jan Krejcí
Bounding Box Detection in Visual Tracking: Measurement Model Parameter Estimation. FUSION 2023: 1-8 - [c83]Jan Krejcí
Bounding Box Dynamics in Visual Tracking: Modeling and Noise Covariance Estimation. FUSION 2023: 1-6 - [c82]Ondrej Straka, Ivo Puncochár, Jirí Ajgl:
Approximate Bayesian State Estimation for Active Fault Diagnosis of Large-Scale Systems. FUSION 2023: 1-8 - [c81]Jindrich Duník, Oliver Kost, Ondrej Straka, Ondrej Daniel:
GNSS Pseudorange Measurement Noise Identification by Measurement Difference Method. PLANS 2023: 208-215 - 2022
- [j26]Jirí Ajgl
Covariance Intersection fusion with element-wise partial knowledge of correlation. Autom. 139: 110168 (2022) - [j25]Ondrej Straka
Distributed design for active fault diagnosis. Int. J. Syst. Sci. 53(3): 562-574 (2022) - [j24]Jindrich Duník, Ondrej Straka, Jakub Matousek
Copula-based convolution for fast point-mass prediction. Signal Process. 192: 108367 (2022) - [c80]Jirí Ajgl, Ondrej Straka:
Linear Fusion under Random Correlation of Estimation Errors. EUSIPCO 2022: 2176-2180 - [c79]Jirí Ajgl, Ondrej Straka:
Linear Fusion with Element-Wise Knowledge. FUSION 2022: 1-8 - [c78]Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas:
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. FUSION 2022: 1-6 - [c77]Jan Krejcí, Ondrej Straka, Jirí Vyskocil, Miroslav Jirík, Uta Dahmen:
Feature-Based Multi-Object Tracking With Maximally One Object per Class. FUSION 2022: 1-8 - [c76]Jakub Matousek, Jindrich Duník, Ondrej Straka, Erik Blasch:
Density Approximation Error Assessment and Compensation in Point-Mass Filter. FUSION 2022: 1-7 - [c75]Ondrej Straka, Jindrich Duník:
Efficient Implementation of Marginal Particle Filter by Functional Density Decomposition. FUSION 2022: 1-8 - [c74]Petr Tichavský, Ondrej Straka, Jindrich Duník:
Point-Mass Filter with Decomposition of Transient Density. ICASSP 2022: 5752-5756 - [c73]Jirí Ajgl
A Study of Fusions of Multiple Estimates for Limit Cases. MFI 2022: 1-6 - [i2]Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas:
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. CoRR abs/2204.06471 (2022) - 2021
- [j23]Jakub Prüher
Improved Calibration of Numerical Integration Error in Sigma-Point Filters. IEEE Trans. Autom. Control. 66(3): 1286-1292 (2021) - [j22]Jindrich Duník
Accurate Density-Weighted Convolution for Point-Mass Filter and Predictor. IEEE Trans. Aerosp. Electron. Syst. 57(6): 3574-3584 (2021) - [c72]Jirí Ajgl, Ondrej Straka:
Comparison of Confidence Sets Designs for Various Degrees of Knowledge. FUSION 2021: 1-7 - [c71]Jindrich Duník, Ondrej Straka, Uwe D. Hanebeck:
Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values. FUSION 2021: 1-8 - [c70]Ondrej Straka, Jindrich Duník, Víctor Elvira:
Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises. FUSION 2021: 1-7 - [c69]Jirí Ajgl
Lower Bounds In Estimation Fusion With Partial Knowledge of Correlations. MFI 2021: 1-6 - [c68]Susanne Radtke, Jirí Ajgl
Learning and Exploiting Partial Knowledge in Distributed Estimation. MFI 2021: 1-7 - 2020
- [j21]Ondrej Straka, Ivo Puncochár:
Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms. Int. J. Appl. Math. Comput. Sci. 30(2): 239-249 (2020) - [j20]Marek Fehér, Ondrej Straka, Václav Smídl:
Model predictive control of electric drive system with L1-norm. Eur. J. Control 56: 242-253 (2020) - [c67]Marek Fehér, Ondrej Straka:
Time-to-go function of double-integrator system with asymmetrical constraints. ECC 2020: 178-183 - [c66]Jirí Ajgl, Ondrej Straka:
Design of Confidence Sets for Estimation with Approximate Piecewise Linear Constraint. ECC 2020: 825-830 - [c65]Jirí Ajgl
Inverse Covariance Intersection Fusion of Multiple Estimates. FUSION 2020: 1-8 - [c64]Jindrich Duník, Ondrej Straka, Jakub Matousek
Reliable Convolution in Point-Mass Filter for a Class of Nonlinear Models. FUSION 2020: 1-7 - [c63]Ondrej Straka, Jindrich Duník:
Resampling-free Stochastic Integration Filter. FUSION 2020: 1-8 - [c62]Ondrej Straka, Ivo Puncochár:
Hierarchical Active Fault Diagnosis for Stochastic Large Scale Systems with Coupled Faults. FUSION 2020: 1-8 - [c61]Jindrich Duník, Ondrej Straka, Jakub Matousek
Conditional Density Driven Grid Design in Point-Mass Filter. ICASSP 2020: 9180-9184 - [c60]Jirí Ajgl
Evaluation of Confidence Sets for Estimation with Piecewise Linear Constraint. MFI 2020: 146-151 - [c59]Jindrich Duník, Oliver Kost, Ondrej Straka, Erik Blasch:
Navigation and Estimation Improvement by Environmental-Driven Noise Mode Detection. PLANS 2020: 925-932
2010 – 2019
- 2019
- [j19]Jirí Ajgl
Decentralised estimation with correlation limited by optimal processing of independent data. Autom. 99: 132-137 (2019) - [j18]Jindrich Duník
Design of Rao-Blackwellized Point-Mass Filter With Application in Terrain Aided Navigation. IEEE Trans. Aerosp. Electron. Syst. 55(1): 251-272 (2019) - [j17]Jindrich Duník
Design of Rao-Blackwellized Point-Mass Smoother for Conditionally Linear and Gaussian Models. IEEE Trans. Signal Process. 67(23): 6053-6066 (2019) - [c58]Ivo Puncochár, Ondrej Straka:
Non-centralized Active Fault Diagnosis for Stochastic Systems. ACC 2019: 5052-5057 - [c57]Jirí Ajgl
Rectification of Partitioned Covariance Intersection. ACC 2019: 5786-5791 - [c56]Jirí Ajgl, Ondrej Straka:
On Fusion of Partial Estimates Under Implicit Partial Knowledge of Correlation. FUSION 2019: 1-8 - [c55]Jindrich Duník, Ondrej Straka:
Rao-Blackwellised Point-Mass Smoothers for a Class of Conditionally Linear Dynamic Models. FUSION 2019: 1-8 - [c54]Jindrich Duník, Ondrej Straka, Erik Blasch:
Solution Separation Unscented Kalman Filter. FUSION 2019: 1-8 - [c53]Jindrich Havlík, Ondrej Straka:
Measures of Nonlinearity and non-Gaussianity in Orbital Uncertainty Propagation. FUSION 2019: 1-8 - [c52]Ondrej Straka, Ivo Puncochár:
Decentralized and Distributed Active Fault Diagnosis for Stochastic Systems with Indirect Observations. FUSION 2019: 1-8 - [c51]Jirí Ajgl
Calculation of Support Function for Fusion Under Partial Knowledge. ICPS 2019: 224-229 - 2018
- [j16]Jirí Ajgl
Fusion of Multiple Estimates by Covariance Intersection: Why and Howit Is Suboptimal. Int. J. Appl. Math. Comput. Sci. 28(3): 521-530 (2018) - [j15]Jindrich Duník
Design of measurement difference autocovariance method for estimation of process and measurement noise covariances. Autom. 90: 16-24 (2018) - [j14]Jindrich Duník
Directional splitting of Gaussian density in non-linear random variable transformation. IET Signal Process. 12(9): 1073-1081 (2018) - [j13]Jindrich Duník
State estimate consistency monitoring in Gaussian filtering framework. Signal Process. 148: 145-156 (2018) - [j12]Jakub Prüher
Gaussian Process Quadrature Moment Transform. IEEE Trans. Autom. Control. 63(9): 2844-2854 (2018) - [j11]Jan Skach
Actor-Critic Off-Policy Learning for Optimal Control of Multiple-Model Discrete-Time Systems. IEEE Trans. Cybern. 48(1): 29-40 (2018) - [j10]Jirí Ajgl
Covariance Intersection in Track-to-Track Fusion: Comparison of Fusion Configurations. IEEE Trans. Ind. Informatics 14(3): 1127-1136 (2018) - [c50]Oliver Kost, Jindrich Duník
Estimation of Noise Means and Covariance Matrices for Linear Time-Varying Models. ACC 2018: 265-271 - [c49]Oliver Kost, Jindrich Dunrek, Ondrej Straka:
Correlated Noise Characteristics Estimation for Linear Time-Varying Systems. CDC 2018: 650-655 - [c48]Ivo Puncochár, Ondrej Straka:
Multiple-Model Active Fault Diagnosis with Deferred Decisions. CDC 2018: 6340-6345 - [c47]Jirí Ajgl
Analysis of Partial Knowledge of Correlations in an Estimation Fusion Problem. FUSION 2018: 100-107 - [c46]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck, Ondrej Straka:
Reconstruction of Cross-Correlations with Constant Number of Deterministic Samples. FUSION 2018: 1638-1645 - [c45]Ondrej Straka, Jindrich Duník
Entropy-Based Consistency Monitoring for Stochastic Integration Filter. FUSION 2018: 1676-1683 - [c44]Jindrich Havlik, Ondrej Straka, Uwe D. Hanebeck:
Stochastic Integration Filter: Theoretical and Implementation Aspects. FUSION 2018: 1699-1706 - [c43]Jindrich Duník
State and measurement noise in positioning and tracking: Covariance matrices Estimation and Gaussianity Assessment. PLANS 2018: 1326-1335 - [i1]Jakub Prüher, Toni Karvonen, Chris J. Oates, Ondrej Straka, Simo Särkkä:
Improved Calibration of Numerical Integration Error in Sigma-Point Filters. CoRR abs/1811.11474 (2018) - 2017
- [j9]Jindrich Duník
On Autocovariance Least-Squares Method for Noise Covariance Matrices Estimation. IEEE Trans. Autom. Control. 62(2): 967-972 (2017) - [c42]Oliver Kost, Jindrich Duník
Noise covariance matrix estimation in navigation and tracking: Impact of linearisation error. CDC 2017: 958-964 - [c41]Jan Skach, Ondrej Straka, Ivo Puncochár:
Efficient active fault diagnosis using adaptive particle filter. CDC 2017: 5732-5738 - [c40]Jirí Ajgl
A geometrical perspective on fusion under unknown correlations based on Minkowski sums. FUSION 2017: 1-8 - [c39]Jindrich Duník
From competitive to cooperative filter design. FUSION 2017: 1-9 - [c38]Jindrich Duník
Performance evaluation of nonlinearity and non-Gaussianity measures in state estimation. FUSION 2017: 1-10 - [c37]Jakub Prüher, Filip Tronarp
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise. FUSION 2017: 1-8 - [c36]Ondrej Straka, Jindrich Duník
Stochastic integration Student's-t filter. FUSION 2017: 1-8 - [c35]Marek Feher, Ondrej Straka, Václav Smídl:
Efficient MPC for permanent magnet synchronous motor. MED 2017: 36-41 - [c34]Jirí Ajgl
On weak points of the ellipsoidal intersection fusion. MFI 2017: 28-33 - 2016
- [j8]Miroslav Simandl, Ondrej Straka
Efficient adaptation of design parameters of derivative-free filters. Autom. Remote. Control. 77(2): 261-276 (2016) - [c33]Ondrej Straka, Jindrich Duník
Directional Splitting for Structure Adaptation of Bayesian Filters. ACC 2016: 2705-2710 - [c32]Jindrich Duník
Measurement difference autocovariance method for noise covariance matrices estimation. CDC 2016: 365-370 - [c31]Jirí Ajgl, Ondrej Straka:
Covariance intersection in track-to-track fusion without memory. FUSION 2016: 1027-1033 - [c30]Ondrej Straka, Jindrich Duník:
Characteristic function based performance index for Bayesian filters. FUSION 2016: 1837-1844 - [c29]Jindrich Duník, Ondrej Straka, Mahendra Mallick, Erik Blasch:
Survey of nonlinearity and non-Gaussianity measures for state estimation. FUSION 2016: 1845-1852 - [c28]Jindrich Havlik, Ondrej Straka, Jindrich Duník, Jirí Ajgl
On Nonlinearity Measuring Aspects of Stochastic Integration Filter. ICINCO (1) 2016: 353-361 - [c27]Jindrich Havlík, Ondrej Straka, Jindrich Duník, Jirí Ajgl:
Stochastic Integration Filter with Improved State Estimate Mean-Square Error Computation. ICINCO (Selected Papers) 2016: 423-439 - [c26]Jirí Ajgl
Covariance intersection in track-to-track fusion with memory. MFI 2016: 359-364 - 2015
- [j7]Jindrich Duník
Random-point-based filters: analysis and comparison in target tracking. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1403-1421 (2015) - [c25]Ondrej Straka
Structure adaptation of nonlinear filters based on non-Gaussianity measures. ACC 2015: 3162-3167 - [c24]Jindrich Duník, Ondrej Straka, Miroslav Simandl, Oliver Kost, Jirí Ajgl, Milos Sotak, Radek Baranek, Zdenek Kana:
Estimation of state and measurement noise characteristics. FUSION 2015: 1817-1824 - [c23]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Design of discrete second order filters for continuous-discrete models. FUSION 2015: 1825-1832 - 2014
- [j6]Ondrej Straka
Unscented Kalman filter with advanced adaptation of scaling parameter. Autom. 50(10): 2657-2664 (2014) - [c22]Jindrich Duník
Self-assessment of local filters by non-Gaussianity measures. ACC 2014: 1723-1728 - [c21]Jindrich Duník, Ondrej Straka, Miroslav Simandl:
On sigma-point set rotation in derivative-free filters. FUSION 2014: 1-8 - [c20]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Measures of non-Gaussianity in unscented Kaiman filter framework. FUSION 2014: 1-8 - [c19]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Comparison of adaptive and randomized unscented Kalman filter algorithms. FUSION 2014: 1-8 - 2013
- [j5]Jindrich Duník
Stochastic Integration Filter. IEEE Trans. Autom. Control. 58(6): 1561-1566 (2013) - [c18]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Jindrich Havlik:
Aspects and comparison of matrix decompositions in unscented Kalman filter. ACC 2013: 3075-3080 - [c17]Jindrich Duník, Ondrej Straka, Miroslav Simandl:
Nonlinearity and non-Gaussianity measures for stochastic dynamic systems. FUSION 2013: 204-211 - [c16]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Jindrich Havlik:
Truncated randomized unscented Kalman filter for interval constrained state estimation. FUSION 2013: 2081-2088 - [c15]Miroslav Flídr, Ondrej Straka, Jindrich Havlik, Miroslav Simandl:
Nonlinear estimation framework: A versatile tool for state estimation. MMAR 2013: 490-495 - 2012
- [j4]Ondrej Straka
Truncation nonlinear filters for state estimation with nonlinear inequality constraints. Autom. 48(2): 273-286 (2012) - [j3]Jindrich Duník, Miroslav Simandl, Ondrej Straka
Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter. IEEE Trans. Autom. Control. 57(9): 2411-2416 (2012) - [c14]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Scaling parameter in unscented transform: Analysis and specification. ACC 2012: 5550-5555 - [c13]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Randomized unscented Kalman filter in target tracking. FUSION 2012: 503-510 - [c12]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance. FUSION 2012: 2004-2011 - [c11]Erik Blasch, Ondrej Straka, Chun Yang, Di Qiu, Miroslav Simandl, Jirí Ajgl:
Distributed tracking fidelity-metric performance analysis using confusion matrices. FUSION 2012: 2012-2019 - 2011
- [j2]Ondrej Straka, Miroslav Simandl:
Particle filter with adaptive sample size. Kybernetika 47(3): 385-400 (2011) - [c10]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Truncated unscented particle filter. ACC 2011: 1825-1830 - [c9]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Gaussian sum unscented Kalman filter with adaptive scaling parameters. FUSION 2011: 1-8 - [c8]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Performance evaluation of local state estimation methods in bearings-only tracking problems. FUSION 2011: 1-8 - 2010
- [c7]Jindrich Duník, Miroslav Simandl, Ondrej Straka:
Multiple-model filtering with multiple constraints. ACC 2010: 6858-6863 - [c6]Jindrich Duník, Miroslav Simandl, Ondrej Straka:
Adaptive choice of scaling parameter in derivative-free local filters. FUSION 2010: 1-8 - [c5]Ondrej Straka, Miroslav Flídr, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Nonlinear estimation framework in target tracking. FUSION 2010: 1-8
2000 – 2009
- 2009
- [c4]Ondrej Straka, Miroslav Simandl, Jindrich Duník:
Gaussian mixtures proposal density in particle filter for track-before-detect. FUSION 2009: 270-277 - 2008
- [j1]Miroslav Simandl, Ondrej Straka
Functional sampling density design for particle filters. Signal Process. 88(11): 2784-2789 (2008) - 2007
- [c3]Miroslav Simandl, Ondrej Straka
Sampling Densities of Particle Filter: A Survey and Comparison. ACC 2007: 4437-4442 - 2005
- [c2]Jindrich Duník, Miroslav Simandl, Ondrej Straka
Performance analysis of derivative-free filters. CDC/ECC 2005: 1941-1946 - 2003
- [c1]Miroslav Simandl, Ondrej Straka:
Nonlinear Filtering Methods: Some Aspects and Performance Evaluation. Modelling, Identification and Control 2003: 67-72
Coauthor Index
[j33] [j32] [c94] [c93] [c92] [c89] [c87] [i8] [i4] [j31] [j30] [j29] [j27] [c85] [c83] [c81] [j24] [c78] [c76] [c75] [c74] [i2] [j22] [c71] [c70] [c64] [c63] [c61] [c59] [j18] [j17] [c55] [c54] [j15] [j14] [j13] [c50] [c45] [c43] [j9] [c42] [c39] [c38] [c36] [j8] [c33] [c32] [c30] [c29] [c28] [c27] [j7] [c25] [c24] [c23] [j6] [c22] [c21] [c20] [c19] [j5] [c18] [c17] [c16] [j4] [j3] [c14] [c13] [c12] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c2]
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