👂🎴 🕸️
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Focus
:
LP
deals
specifically
with
linear
equations
and
inequalities
.
This
means
it
works
with
problems
where
relationships
are
represented
as
straight
lines
(
hence
'
linear
').
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Objective
:
It
always
aims
to
find
the
maximum
or
minimum
value
of
a
linear
equation
''
known
as
the
objective
function
.
For
example
''
maximizing
profit
or
minimizing
cost
.
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Method
:
LP
uses
specific
mathematical
methods
''
like
the
Simplex
algorithm
''
to
find
the
best
solution
.
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Constraints
:
All
constraints
in
LP
are
linear
(
straight
-
line
relationships
).
For
instance
''
you
can
'
t
spend
more
than
a
certain
budget
''
or
you
need
at
least
a
certain
amount
of
some
ingredient
.
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Solutions
:
Solutions
in
LP
are
often
numerical
and
can
include
fractions
or
decimals
.
p
>
This
project
’
s
main
goal
is
a
linear
programming
model
that
re
-
envisions
ambitious
yet
feasible
renewable
energy
goals
for
key
regions
by
focusing
on
the
trade
-
offs
between
different
fossil
-
free
energy
sources
. 
For
this
''
the
project
focuses
on
the
data
of
four
common
fossil
-
free
energy
sources
:
wind
''
solar
''
nuclear
and
hydro
''
as
well
as
relevant
variables
such
as
Cost
''
Reliability
''
Existing
Energy
Mix
and
Public
Approval
.
Imagine
you
have
a
map
with
various
paths
and
you
need
to
find
the
shortest
way
to
a
treasure
.
Each
path
has
its
own
rules
''
like
how
much
weight
you
can
carry
or
how
fast
you
can
travel
.
The
Simplex
algorithm
helps
you
navigate
these
paths
and
rules
to
find
the
most
efficient
route
to
the
treasure
.<
br
/><
br
/>
In
technical
terms
''
it
deals
with
equations
representing
constraints
(
like
the
rules
of
each
path
)
and
a
goal
(
like
reaching
the
treasure
in
the
shortest
time
).
The
algorithm
iteratively
explores
vertices
on
a
multidimensional
shape
(
the
map
)''
checking
at
each
step
if
it
'
s
closer
to
the
best
solution
.
It
'
s
like
checking
each
intersection
on
a
map
to
see
if
you
'
re
closer
to
the
treasure
.
This
continues
until
it
finds
the
most
efficient
route
''
giving
you
the
best
solution
to
your
problem
.
Diet
Problem
(
DP
)
involves
finding
the
most
cost
-
effective
diet
that
meets
all
nutritional
requirements
.
Imagine
you
have
a
list
of
foods
''
each
with
its
own
nutritional
content
and
cost
.
Your
goal
is
to
choose
a
combination
of
these
foods
that
provides
all
the
necessary
nutrients
(
like
vitamins
''
proteins
''
carbohydrates
''
etc
.)
for
the
least
possible
cost
.
You
set
up
equations
for
each
nutrient
''
ensuring
your
diet
doesn
'
t
fall
short
or
exceed
what
'
s
needed
.
Then
''
you
use
linear
programming
to
minimize
the
total
cost
while
satisfying
these
nutritional
constraints
.
It
'
s
like
solving
a
puzzle
where
you
balance
your
health
needs
against
your
budget
''
finding
the
best
possible
dietary
plan
.
Here
is
a
CSV
containing
information
about
nutritive
values
of
different
vegetables
growable
in
a
German
garden
''
last
column
also
contains
expected
yield
per
square
meter
.
Please
provide
a
combination
of
vegetables
which
would
satisfy
nutritive
need
of
an
adult
man
so
that
the
surface
on
which
the
vegetables
grow
is
minimized
.
To
have
the
meal
diversified
''
there
should
be
not
more
than
300g
of
certain
vegetable
.
[Impressum, Datenschutz, Login] Other subprojects of wizzion.com linkring: gardens.digital baumhaus.digital kyberia.de teacher.solar giver.eu fibel.digital naadam.info udk.ai refused.science puerto.life