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1
Contribution à la modélisation et à la gestion dynamique du risque des marchés de l’énergie
Noufel Frikha
cvar
ϕ
algorithm
ξα
cvarα
ξn
ℓ
edure
approximation
varian
risk
whi
spot
γn
θn
hedging
sequen
onvergen
hasti
θℓ
portfolio
xℓ
step
random
stochastic
solution
varα
sampling
optimal
theorem
introdu
algorithme
assumption
quantization
rst
θ.x
risque
θm
tions
strategy
usion
framework
density
dimensional
method
probability
µn
essus
gℓ
onsider
Jezik:
french
Fajl:
PDF, 3.29 MB
Vaši tagovi:
0
/
0
french
2
Reinforcement Learning and Dynamic Programming Using Function Approximators (Automation and Control Engineering)
Lucian Busoniu
,
Robert Babuska
,
Bart De Schutter
,
Damien Ernst
policy
iteration
function
algorithm
approximate
fuzzy
optimal
samples
figure
algorithms
approximation
lspi
search
functions
discrete
continuous
parameter
optimization
obtained
vector
approximator
reward
parameters
mfs
bfs
stochastic
values
exploration
policies
solution
deterministic
initial
step
convergence
ℓ
probability
methods
bellman
computed
density
reinforcement
approximators
equation
grid
mapping
representative
finite
kθ
greedy
squares
Godina:
2010
Jezik:
english
Fajl:
PDF, 8.34 MB
Vaši tagovi:
0
/
0
english, 2010
3
New Methods of Celestial Mechanics
Bentham Science Publishers
Jan Vrbik
exp
iψ
mechanics
celestial
βz
solution
methods
β2
perturbing
vrbik
2ψ
corresponding
equations
kepler
2ω
2β
2θ
2φ
zero
proportional
perturbed
equation
equal
implies
φℓo
ω2
earth’s
mass
axis
aℓ
orbital
εn
ψℓo
orbit
ṙ
motion
similarly
yields
αk
perturbations
complex
sin2
ℓ
2iψ
accuracy
eccentricity
figure
orbits
satellite
θ̃
Godina:
2010
Jezik:
english
Fajl:
PDF, 2.10 MB
Vaši tagovi:
0
/
0
english, 2010
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