OPERSEA

Quantitative Analysis

A business or financial analysis technique that seeks to understand behavior by using complex mathematical and statistical modeling, measurement and research. By assigning a numerical value to variables, quantitative analysts try to replicate reality mathematically. Quantitative analysis can be done for a number of reasons such as measurement, performance evaluation or valuation of a financial instrument. It can also be used to predict real world events such as changes in a share price.

Decision theory method

is an axiomatic system that contains at least one action axiom.
Formulation is the first and often most challenging stage in using formal decision methods (and in decision analysis in particular). The objective of the formulation stage is to develop a formal model of the given decision.
Evaluation is the second and most algorithmic stage in using formal decision methods. The objective of the evaluation stage is to produce a formal recommendation (and its associated sensitivities) from a formal model of the decision situation.

Decision tree

is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal. Another use of decision trees is as a descriptive means for calculating conditional probabilities.

Linear programming

In mathematics, linear programming (LP) is a technique for optimization of a linear objective function, subject to linear equality and linear inequality constraints. Informally, linear programming determines the way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model and given some list of requirements represented as linear equations.
More formally, given a polytope (for example, a polygon or a polyhedron), and a real-valued affine function defined on this polytope, a linear programming method will find a point in the polytope where this function has the smallest (or largest) value. Such points may not exist, but if they do, searching through the polytope vertices is guaranteed to find at least one of them.

OPERSEA ASSIGNMENT!!!!

Quantitative Analysis

A business or financial analysis technique that seeks to understand behavior by using complex mathematical and statistical modeling, measurement and research. By assigning a numerical value to variables, quantitative analysts try to replicate reality mathematically. Quantitative analysis can be done for a number of reasons such as measurement, performance evaluation or valuation of a financial instrument. It can also be used to predict real world events such as changes in a share price.

Decision theory method
is an axiomatic system that contains at least one action axiom.
Formulation is the first and often most challenging stage in using formal decision methods (and in decision analysis in particular). The objective of the formulation stage is to develop a formal model of the given decision.
Evaluation is the second and most algorithmic stage in using formal decision methods. The objective of the evaluation stage is to produce a formal recommendation (and its associated sensitivities) from a formal model of the decision situation.

Decision tree
is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal. Another use of decision trees is as a descriptive means for calculating conditional probabilities.

Linear programming
In mathematics, linear programming (LP) is a technique for optimization of a linear objective function, subject to linear equality and linear inequality constraints. Informally, linear programming determines the way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model and given some list of requirements represented as linear equations.
More formally, given a polytope (for example, a polygon or a polyhedron), and a real-valued affine function defined on this polytope, a linear programming method will find a point in the polytope where this function has the smallest (or largest) value. Such points may not exist, but if they do, searching through the polytope vertices is guaranteed to find at least one of them.

ass.

SELECT DISTINCT it.name as Item, I.name as Ingredient
FROM madewith as mw, ingredients as i, items as it
WHERE (mw.itemid = it.itemid)
AND (mw.ingredientid = i.ingredientid)
AND ((quantity*3) > inventory)

THEODBS

CODE::::

Dim u1, u2, u3, u, qx, cbol As String
Public Sub DG2cr()

DataGrid2.Caption = DataCombo1.BoundText + "'s Ingredients"

End Sub

Public Sub tstb()
u1 = "UPDATE ingredients AS i INNER JOIN madewith AS mw ON i.ingredientid=mw.ingredientid SET i.inventory = i.inventory"

u2 = "mw.quantity WHERE mw.itemid='"

u3 = "';"

Select Case DataCombo1.BoundText
Case "Chicken Salad"

txta.Text = u1 + u + u2 + "CHKSD" + u3

tstdz

Case "Fruit Salad"

txta.Text = u1 + u + u2 + "FRTSD" + u3

tstdz

Case "Fruit Plate"

txta.Text = u1 + u + u2 + "FRPT" + u3

tstdz

Case "Fruit Latte"

txta.Text = u1 + u + u2 + "FRTLT" + u3

tstdz

Case "Fruit Juice"txta.Text = u1 + u + u2 + "FRTJC" + u3

tstdz

Case "Vegan Eatin'"

txta.Text = u1 + u + u2 + "VGNET" + u3

tstdz

Case "Veggie Latte"

txta.Text = u1 + u + u2 + "VEGLT" + u3

tstdz

Case "Veggie Juice"

txta.Text = u1 + u + u2 + "VEGJC" + u3

tstdz

Case "Millennium Salad"

txta.Text = u1 + u + u2 + "MILSD" + u3

tstdz

Case "Garden Salad"

txta.Text = u1 + u + u2 + "GDNSD" + u3

tstdz

Case "Chicken N Spuds"

txta.Text = u1 + u + u2 + "CKSDS" + u3

tstdz

Case "Orange Juice"

txta.Text = u1 + u + u2 + "ORNGJ" + u3

tstdz

Case "Pizza"

txta.Text = u1 + u + u2 + "PIZZA" + u3

tstdz

Case "Soda"

txta.Text = u1 + u + u2 + "SODA" + u3

tstdz

Case "Water"

txta.Text = u1 + u + u2 + "WATER" + u3

tstdz
End Select
End Sub

Public Sub tstdz()

dz

txta.Text = "select name,inventory,unit from ingredients"

dz

End Sub

Public Sub tst()
csa = "select name,quantity,unit from madewith as mw,ingredients as i where (mw.ingredientid=i.ingredientid)and(itemid = '"csb = "')"

Select Case DataCombo1.BoundText
Case "Chicken Salad"

txtc.Text = csa + "CHKSD" + csb

DG2cr

Case "Fruit Salad"

txtc.Text = csa + "FRTSD" + csb

DG2cr

Case "Fruit Plate"

txtc.Text = csa + "FRPT" + csb

DG2cr

Case "Fruit Latte"

txtc.Text = csa + "FRTLT" + csb

DG2cr

Case "Fruit Juice"

txtc.Text = csa + "FRTJC" + csb

DG2cr

Case "Vegan Eatin'"

txtc.Text = csa + "VGNET" + csb

DG2cr

Case "Veggie Latte"

txtc.Text = csa + "VEGLT" + csb

DG2cr

Case "Veggie Juice"

txtc.Text = csa + "VEGJC" + csb

DG2cr

Case "Millennium Salad"

txtc.Text = csa + "MILSD" + csb

DG2cr

Case "Garden Salad"

txtc.Text = csa + "GDNSD" + csb

DG2cr

Case "Chicken N Spuds"

txtc.Text = csa + "CKSDS" + csb

DG2cr

Case "Orange Juice"

txtc.Text = csa + "ORNGJ" + csb

DG2cr

Case "Pizza"

txtc.Text = csa + "PIZZA" + csb

DG2crCase "Soda"

txtc.Text = csa + "SODA" + csb

DG2cr

Case "Water"

txtc.Text = csa + "WATER" + csb

DG2cr
End Select
End Sub

Private Sub Command1_Click()
End Sub

Private Sub Command3_Click()
On Error GoTo HE
u = "-"

Adodc2.RecordSource = txtc.Text

dx

tstb

Command2.Enabled = True

Command4.Enabled = True
Exit Sub

HE:

MsgBox "Select Menu.", vbOKOnly + vbInformation, "Empty file"

DataCombo1.SetFocus

End Sub

Private Sub Command4_Click()

On Error GoTo EHa

u = "+"txtb.Text = "select name,quantity,unit from madewith as mw,ingredients as i where (mw.ingredientid=i.ingredientid)and(itemid = '')"

Adodc2.RecordSource = txtb.Text

dy

tstb

Command2.Enabled = False

Command4.Enabled = False

Exit Sub

EHa:

DataCombo1.SetFocus

Exit Sub

End Sub

Private Sub Command5_Click()

DEcon1.rsingredients.Update

End Sub

Private Sub Command6_Click()

Unload Me

End Sub

Private Sub DataCombo1_Click(Area As Integer)

tst

End Sub

Public Sub dx()
Dim rs As ADODB.Recordset
Set rs = New ADODB.Recordset
If DEcon1.ConRDB.State = adstateclose Then
DEcon1.ConRDB.Open

End If

rs.Open txtc.Text, DEcon1.ConRDB, 1, 3
Set DataGrid2.DataSource = rs
End Sub

Public Sub dy()
Dim rs1 As ADODB.Recordset
Set rs1 = New ADODB.Recordset
If DEcon1.ConRDB.State = adstateclose Then
DEcon1.ConRDB.Open
End If

rs1.Open txtb.Text, DEcon1.ConRDB, 1, 3
Set DataGrid2.DataSource = rs1
End Sub

Public Sub dz()
Dim rs2 As ADODB.Recordset
Set rs2 = New ADODB.Recordset
If DEcon1.ConRDB.State = adstateclose Then
DEcon1.ConRDB.Open
End If

rs2.Open txta.Text, DEcon1.ConRDB, 1, 3
Set DataGrid1.DataSource = rs2
End Sub

Private Sub Form_Load()

qx = False

Command2.Enabled = False

Command4.Enabled = False

End Sub

Relational Database Management System Meaning

A Relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model as introduced by E. F. Codd. Most popular commercial and open source databases currently in use are based on the relational model.
A short definition of an RDBMS may be a DBMS in which data is stored in the form of tables and the relationship among the data is also stored in the form of tables.
Historical usage of the term
E. F. Codd introduced the term in his seminal paper "A Relational Model of Data for Large Shared Data Banks", published in 1970. In this paper and later papers he defined what he meant by relational. One well-known definition of what constitutes a relational database system is Codd's 12 rules. However, many of the early implementations of the relational model did not conform to all of Codd's rules, so the term gradually came to describe a broader class of database systems. At a minimum, these systems:
• presented the data to the user as relations (a presentation in tabular form, i.e. as a collection of tables with each table consisting of a set of rows and columns, can satisfy this property)
• provided relational operators to manipulate the data in tabular form
The first systems that were relatively faithful implementations of the relational model were from the University of Michigan; Micro DBMS (1969) and from IBM UK Scientific Centre at Peterlee; IS1 (1970–72) and its followon PRTV (1973–79). The first system sold as an RDBMS was Multics Relational Data Store, first sold in 1978. Others have been Berkeley Ingres QUEL and IBM BS12.
The most popular definition of an RDBMS is a product that presents a view of data as a collection of rows and columns, even if it is not based strictly upon relational theory. By this definition, RDBMS products typically implement some but not all of Codd's 12 rules.
A second, theory-based school of thought argues that if a database does not implement all of Codd's rules (or the current understanding on the relational model, as expressed by Christopher J Date, Hugh Darwen and others), it is not relational. This view, shared by many theorists and other strict adherents to Codd's principles, would disqualify most DBMSs as not relational. For clarification, they often refer to some RDBMSs as Truly-Relational Database Management Systems (TRDBMS), naming others Pseudo-Relational Database Management Systems (PRDBMS).

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Tayabas City

Tayabas city is 12 kilometres from the city of Lucena. According to the 2000 census, it has a population of 70,985 people in 15,155 households. Tayabas is known for lambanog (coconut wine) and sweet food/delicacies, as well as resorts. The Tayabas is also knowm as the factory of different candies, budin, nilupak and the lambanog.In the Tayabas there were many swimming pools like Nawawalang Paraiso, Graceland, Mainit HotSpring and many more. There were the old church know as the San Miguel Archangel Minor Basilica. And the most known Restaurant the Kamayan sa Palaisdaan, Palaisdaan-Old.