| Index Entry | Section |
|---|
|
| $ | | |
|---|
| ‘$dimetaphi’ | 2.4.1 Setup a model and compile with cmz |
| ‘$zinit’ | 2.4.1 Setup a model and compile with cmz |
|
| A | | |
|---|
| adjoint | 4.2.1 Overview of optimisation with mini_ker |
| ‘aspha.data’ | 2.4.3 Running a simulation and using the output |
| ‘aspha.data’, GTLS | 4.6.3 Generalized tangent linear system analysis run and output |
| ‘aspha.data’, SVD | 4.5.3 Singular Value Decomposition run and output |
|
| B | | |
|---|
| Borel sweep | 4.4 Feedback gain |
| Borel sweep graphics | 4.4.2 Borel sweep results |
| Borel sweep results | 4.4.2 Borel sweep results |
|
| C | | |
|---|
| cells | Introduction |
| cernlib | A.2 Common requisites |
| command law | 4.2.2 Control laws |
| compilation | 2.4.2 Setup a model and compile with make |
| configuration of source | A.4.2 Configuration |
| controlling the run | 2.5 Controlling the run |
|
| D | | |
|---|
| ‘data.data’ | 3.6.2 Data |
| ‘data.data’ | 4.3.2.2 Kalman filter results |
| dimetaphi | 2.2.2 Entering model size |
| ‘dimetaphi’ | 2.2.2 Entering model size |
| dimetaphi, general | 2.1 General structure of the code |
| ‘dimetaphi’, Kalman filter | 4.3.1.1 Kalman filter vectors dimensions |
| ‘dimetaphi.mti’ | 2.4.2 Setup a model and compile with make |
| down node | 3.3 Describing 1D gridded model |
| ‘dres.data’ | 2.4.3 Running a simulation and using the output |
| ‘dres.data’ | |
| ‘dres.data’, GTLS | 4.6.3 Generalized tangent linear system analysis run and output |
|
| E | | |
|---|
| equations, grid | Grid node equations |
| error vector dimension | 4.3.1.1 Kalman filter vectors dimensions |
|
| F | | |
|---|
| FDL, GNU Free Documentation License | C.1 GNU Free Documentation License |
| feature setting | 3.1 Overview of additional features setting |
| Feedback gain | 4.4 Feedback gain |
| ffl (linearity test) | 2.5.1 Executing code at the end of each time step |
| final cost | 4.2.1 Overview of optimisation with mini_ker |
|
| G | | |
|---|
| Generalized linear tangent system | 4.6 Generalized linear tangent system analysis |
| ‘gradpj.data’ | 4.2.4 Sensitivity of cost function to parameters |
| graphics | 2.4.4 Doing graphics |
| graphics with gnuplot | 2.4.4 Doing graphics |
| graphics with PAW | 2.4.4 Doing graphics |
| graphics, Borel sweep | 4.4.2 Borel sweep results |
| GTLS | 4.6 Generalized linear tangent system analysis |
| GTLS output | 4.6.3 Generalized tangent linear system analysis run and output |
| GTLS run | 4.6.3 Generalized tangent linear system analysis run and output |
|
| I | | |
|---|
| initial state sensitivity | 4.1.1 Initial state sensitivity |
| initial variance-covariance on states | Initial variance-covariance matrix on the state |
| installation with make | A.4.3 Installation with make |
| integrand cost | 4.2.1 Overview of optimisation with mini_ker |
|
| K | | |
|---|
| Kalman filter | 4.3 Kalman filter |
| Kalman filter output | 4.3.2.2 Kalman filter results |
| Kalman filter results | 4.3.2.2 Kalman filter results |
|
| L | | |
|---|
| lapack | A.2 Common requisites |
| limiting conditions | Limiting conditions |
| linearity test | 2.5.1 Executing code at the end of each time step |
| logical flags | 3.1 Overview of additional features setting |
| Lyapunov exponents | 4.6 Generalized linear tangent system analysis |
|
| M | | |
|---|
| ‘Makefile.miniker’ | 5.1 Make variables |
| ‘Makefile.sltc’ | 4.5.2 Singular Value Decomposition with make |
| ‘Makefile.sltcirc’ | 4.6.2 Generalized tangent linear system with make |
| ‘mini_ker.cmz’ | A.3 Mini_ker with cmz |
| mod | 2.4.1 Setup a model and compile with cmz |
| model equations | Model equations |
| model equations, symbolic | 2.3 Symbolic model description |
| model size | 2.2.2 Entering model size |
| ‘Model.hlp’ | 2.4.3 Running a simulation and using the output |
| mortran | Introduction |
| mortran | 2.2.1 All you need to know about mortran and cmz directives |
| mortran, with make | A.4.1 Additional requirements for Mini_ker with make |
|
| O | | |
|---|
| ‘obs.data’ | 3.6.1 Observations |
| observation function | 3.6.1 Observations |
| observations | 4.3.1.2 Error and observation matrices |
| observations, general | 4.3 Kalman filter |
| optimisation | 4.2.1 Overview of optimisation with mini_ker |
| output file | 2.4.3 Running a simulation and using the output |
| output, GTLS | 4.6.3 Generalized tangent linear system analysis run and output |
| output, Kalman filter | 4.3.2.2 Kalman filter results |
| output, sensitivity | 4.1.1 Initial state sensitivity |
| output, SVD | 4.5.3 Singular Value Decomposition run and output |
|
| P | | |
|---|
| ‘phit.data’ | 4.1.3 Extended Sensitivity studies |
| printing | 2.5.2 Controlling the printout and data output |
| Programming environments | A.1 Programming environments |
| propagator | 4.6 Generalized linear tangent system analysis |
| ‘psit.data’ | 4.1.3 Extended Sensitivity studies |
|
| R | | |
|---|
| requirements, with make | A.4.1 Additional requirements for Mini_ker with make |
| ‘res.data’ | 2.4.3 Running a simulation and using the output |
| results, Borel sweep | 4.4.2 Borel sweep results |
| results, Kalman filter | 4.3.2.2 Kalman filter results |
| run, GTLS | 4.6.3 Generalized tangent linear system analysis run and output |
| run, SVD | 4.5.3 Singular Value Decomposition run and output |
| running model | 2.4.3 Running a simulation and using the output |
|
| S | | |
|---|
| select flag | 3.1 Overview of additional features setting |
| ‘selseq.kumac’ | 3.1 Overview of additional features setting |
| ‘selseq.kumac’ | A.3 Mini_ker with cmz |
| ‘sens.data’ | 4.1.1 Initial state sensitivity |
| sensitivities | 4.1 Automatic sensitivity computation |
| Sensitivity to a pulse or a step | 4.1.2 Sensitivity to a pulse or a step transfer perturbation |
| sensitivity, output | 4.1.1 Initial state sensitivity |
| sequence | 2.1 General structure of the code |
| sequences | 2. Mini_ker model programming |
| ‘sigma.data’ | 4.1.1 Initial state sensitivity |
| Singular Value Decomposition | 4.5 Stability analysis of fastest modes |
| ‘sltc.exe’ | 4.5 Stability analysis of fastest modes |
| ‘sltc.exe’ | 4.5.3 Singular Value Decomposition run and output |
| ‘sltcirc.exe’ | 4.6 Generalized linear tangent system analysis |
| ‘sltcirc.exe’ | 4.6.3 Generalized tangent linear system analysis run and output |
| smod | 4.5.1 Singular Value Decomposition with cmz |
| smod | 4.6.1 Generalized tangent linear system with cmz |
| starting point | Starting points |
| state matrix | 4.5 Stability analysis of fastest modes |
| SVD | 4.5 Stability analysis of fastest modes |
| SVD output | 4.5.3 Singular Value Decomposition run and output |
| SVD run | 4.5.3 Singular Value Decomposition run and output |
| symbolic model | 2.3 Symbolic model description |
| symbolic model equations | 2.3 Symbolic model description |
|