[ < ] [ > ]   [Contents] [Index] [ ? ]

Concepts index

Jump to:   $  
A   B   C   D   E   F   G   H   I   K   L   M   O   P   R   S   T   U   V   Z  
Index Entry Section

$
$dimetaphi2.3.1 Setup a model and compile with cmz
$zinit2.3.1 Setup a model and compile with cmz

A
adjoint4.2.1 Overview of optimisation with Miniker
aspha.data2.3.3 Running a simulation and using the output
aspha.data’, GTLS4.6.3 Generalized tangent linear system analysis run and output
aspha.data’, SVD4.5.3 Singular Value Decomposition run and output

B
Borel sweep4.4 Feedback gain
Borel sweep graphics4.4.2 Borel sweep results
Borel sweep results4.4.2 Borel sweep results

C
cellsIntroduction
cernlibA.2 Common requisites
command law4.2.2 Control laws
compilation2.3.2 Setup a model and compile with make
configuration of sourceA.4.2 Configuration
controlling the run2.4 Controlling the run

D
data.data3.8.2 Data
data.data4.3.2.2 Kalman filter results
dimetaphi3.9.1 The explicit size sequence
dimetaphi3.9.1 The explicit size sequence
dimetaphi’, Kalman filter4.3.1.1 Kalman filter vectors dimensions
down node3.3 Describing 1D gridded model
dres.data2.3.3 Running a simulation and using the output
dres.data
dres.data’, GTLS4.6.3 Generalized tangent linear system analysis run and output

E
equations, gridGrid node equations
error vector dimension4.3.1.1 Kalman filter vectors dimensions

F
FDL, GNU Free Documentation LicenseC.1 GNU Free Documentation License
feature setting3.1 Overview of additional features setting
Feedback gain4.4 Feedback gain
ffl (linearity test)2.4.1 Executing code at the end of each time step
final cost4.2.1 Overview of optimisation with Miniker

G
Generalized linear tangent system4.6 Generalized linear tangent system analysis
gradpj.data4.2.4 Sensitivity of cost function to parameters
graphics2.3.4 Doing graphics
graphics with gnuplot2.3.4 Doing graphics
graphics with PAW2.3.4 Doing graphics
graphics, Borel sweep4.4.2 Borel sweep results
GTLS4.6 Generalized linear tangent system analysis
GTLS output4.6.3 Generalized tangent linear system analysis run and output
GTLS run4.6.3 Generalized tangent linear system analysis run and output

H
Heaviside function3.6 Rule of programming non continuous models

I
initial variance-covariance on statesInitial variance-covariance matrix on the state
installation with makeA.4.3 Installation with make
integrand cost4.2.1 Overview of optimisation with Miniker

K
Kalman filter4.3 Kalman filter
Kalman filter output4.3.2.2 Kalman filter results
Kalman filter results4.3.2.2 Kalman filter results

L
lapackA.2 Common requisites
limiting conditionsLimiting conditions
linearity test2.4.1 Executing code at the end of each time step
logical flags3.1 Overview of additional features setting
Lyapunov exponents4.6 Generalized linear tangent system analysis

M
Makefile.miniker5.1 Make variables
Makefile.sltc4.5.2 Singular Value Decomposition with make
Makefile.sltcirc4.6.2 Generalized tangent linear system with make
mini_ker.cmzA.3 Miniker with cmz
mod2.3.1 Setup a model and compile with cmz
model equations3.9.2 Entering the model equations, with explicit sizes
model size3.9.1 The explicit size sequence
Model.hlp2.3.3 Running a simulation and using the output
mortranIntroduction
mortran2.2.1 All you need to know about mortran and cmz directives
mortran, with makeA.4.1 Additional requirements for Miniker with make

O
obs.data3.8.1 Observations
observation function3.8.1 Observations
observations4.3.1.2 Error and observation matrices
observations, general4.3 Kalman filter
optimisation4.2.1 Overview of optimisation with Miniker
output file2.3.3 Running a simulation and using the output
output, GTLS4.6.3 Generalized tangent linear system analysis run and output
output, Kalman filter4.3.2.2 Kalman filter results
output, sensitivity4.1 Automatic sensitivity computation
output, SVD4.5.3 Singular Value Decomposition run and output

P
printing2.4.2 Controlling the printout and data output
Programming environmentsA.1 Programming environments
propagator4.6 Generalized linear tangent system analysis

R
requirements, with makeA.4.1 Additional requirements for Miniker with make
res.data2.3.3 Running a simulation and using the output
results, Borel sweep4.4.2 Borel sweep results
results, Kalman filter4.3.2.2 Kalman filter results
run, GTLS4.6.3 Generalized tangent linear system analysis run and output
run, SVD4.5.3 Singular Value Decomposition run and output
running model2.3.3 Running a simulation and using the output

S
select flag3.1 Overview of additional features setting
selseq.kumac3.1 Overview of additional features setting
selseq.kumacA.3 Miniker with cmz
sens.data4.1 Automatic sensitivity computation
sensitivities4.1 Automatic sensitivity computation
sensitivity, output4.1 Automatic sensitivity computation
sequence2.1 General structure of the code
sequences2. Miniker model programming
sigma.data4.1 Automatic sensitivity computation
Singular Value Decomposition4.5 Stability analysis of fastest modes
sltc.exe4.5 Stability analysis of fastest modes
sltc.exe4.5.3 Singular Value Decomposition run and output
sltcirc.exe4.6 Generalized linear tangent system analysis
sltcirc.exe4.6.3 Generalized tangent linear system analysis run and output
smod4.5.1 Singular Value Decomposition with cmz
smod4.6.1 Generalized tangent linear system with cmz
starting pointStarting points
state matrix4.5 Stability analysis of fastest modes
SVD4.5 Stability analysis of fastest modes
SVD output4.5.3 Singular Value Decomposition run and output
SVD run4.5.3 Singular Value Decomposition run and output

Jump to:   $  
A   B   C   D   E   F   G   H   I   K   L   M   O   P   R   S   T   U   V   Z  

[Contents] [Index] [ ? ]

This document was generated by a tester on a sunny day using texi2html.